Reconfiguration Capabilities Research Articles

Design of a cost-effective intelligent surface structure for field reconfiguration of an antenna

Abstract This work presents a passive intelligent surface designed at 2.45 GHz that has the capability of transmitting and reflecting electromagnetic waves that are incident upon it. The proposed surface does not require any circuitry or power source to function. Therefore, it makes a cost-effective and simple intelligent surface. It is a simple metallic structure that has embedded waveguide slots on its surface, allowing the waves to couple for transmission. A prototype of the proposed surface is designed using an aluminum foil and analyzed for both transmission and reflection of the wave. Further, the designed surface is investigated for tuning the directionality of the radiated field from the antenna. For this purpose, a coplanar patch antenna is first designed and then combined with the surface to tune the directionality of the radiated field of this antenna. The outcome of the measured performance validates that the proposed surface has the potential capability of field reconfiguration in wireless communication for Wi-Fi, WLAN, and Bluetooth applications.

Crisis response strategies: a digital reluctance perspective

AbstractThis research examines the convergence of digitalisation and managerial capabilities in shaping effective crisis response strategies, with a particular focus on understanding the factors that contribute to managers’ digital reluctance. In a two-wave study conducted during the COVID-19 pandemic (2020–2022) through a Dynamic Managerial Capability (DMC) lens, we incorporate the qualitative data from managers of four coworking spaces into a theoretical model that assesses digitalisation as a determinant of DMC in crisis management. Our findings show that digital sensing, digital seizing, and digital reconfiguration capabilities effectively coordinate the survival process. Additionally, we introduce the concept of ‘digital reluctance’ as a constraint on DMC in the context of digitalisation. This behaviour stems from a combination of social, human and cognitive factors, including an avoidance of costly digital tools due to limited resources, scepticism about the ability of digital tools to address core challenges, lack of a compelling competitive advantage, intrinsic confidence in digital maturity, challenges in managing employee learning, and reluctance to sustain digital initiatives that do not yield immediate results. With a theoretical contribution to the crisis management literature, our study provides a better understanding of digital coping mechanisms, highlighting the importance of managers’ social, human and cognitive capabilities. Practically, we analyse the managerial perspectives and pathways for adopting digital technologies to survive in crisis disruptions, against liquidity and solvency threats. Finally, we outline the relevant strategies for achieving business outcomes at four different levels of leveraging digitalisation and DMC exploitation.

Dynamic Capabilities and Competitive Advantage among Listed Commercial Banks in Kenya

Purpose: This study sought to evaluate how dynamic capabilities affect competitive advantage among listed commercial banks, in Kenya. Specifically, the study sought to ascertain how Sensing capability, learning capability, reconfiguration capability and integration capability affects competitive advantage among listed commercial banks, in Kenya. Methodology: This study used Cross-Sectional Research Design since the study focused on quantitative data. The study was carried out in Kenya, covering all the 39 solvent commercial banks in Kenya (Source, CBK 2020),(as of 31st March 2024.The respondents were 1404 functional managers which comprise of five (5) from Human Resource ,five (5) from information Technology ,Ten (10) from Sales and marketing ,five (5) from procurement, and five(5) from risk and compliance. The study used 10% of the target population as the study sample size hence the sample size was 140 respondents comprising of management employees. Data was collected using a self-administered structured questionnaire. The Statistical Package for Social Sciences (SPSS) version 25 software was used to analyze the data. Findings: The study concludes that sensing capability has a significant effect on competitive advantage among listed commercial banks, in Kenya. In addition, the study concludes that learning capability has a significant effect on competitive advantage among listed commercial banks, in Kenya. Further, the study concludes that reconfiguration capability has a significant effect on competitive advantage among listed commercial banks, in Kenya. The study also concludes that integration capability has a significant effect on competitive advantage among listed commercial banks, in Kenya. Unique Contribution to Theory, Policy and Practice: Based on the findings, the study recommends that the management of commercial banks in Kenya should implement a comprehensive knowledge management system that encourages continuous professional development and collaboration among employees. By establishing structured training programs, mentorship initiatives, and cross-departmental knowledge sharing, banks can foster a culture of innovation and adaptability.

High Step-up DC-DC Converter with Reconfiguration Capability

High Step-up DC-DC Converter with Reconfiguration Capability

A quad-polarization reconfigurable transmitarray antenna with beam-scanning and reconfigurable polarization capabilities

Abstract In this paper, a novel quad-polarized electronically reconfigurable transmitarray antenna(QRTA) is proposed, which can actively switch among four linear-polarization modes and steer beam-scanning in these polarization modes. The QRTA element follows a receiving-transmitting structure. Its receiver or transmitter is composed of four rotationally symmetric patches and a coupling patch. Four rotationally symmetric patches generate x- and y-polarization modes, while coupling patches on the top and bottom layers of the QRTA element are designed to synthesize x-, 45◦-, y-, and 135◦-polarization modes. The QRTA element utilizes a reverse symmetry current method to achieve a 180◦ phase difference in the radiated electromagnetic waves. By manipulating the state of the p-i-n diodes, the proposed QRTA element can achieve four LP functions and a 1-bit phase shift. Based on the proposed novel QRTA element, a 10 × 10 elements QRTA prototype is fabricated and measured. The measured results demonstrate that the proposed QRTA can electronically switch between four LP modes and achieve beam-scanning in those LP modes. The proposed QRTA shows several advantages, including low cost, multi-polarization capability, high gain, and beam-scanning, which means that it can enhance the polarization capabilities and intelligence of wireless communication systems.

Learning, Integration, and Re-Configuration: Dynamic Capabilities as Drivers of Data-Driven Insights and Decision Quality

Purpose The study investigates the role of the dynamic capabilities of learning, integration, and re-configuration on the quality of decision-making mediated by data-driven insights. It particularly examines how these dynamic capabilities individually contribute to offering efficient and effective decision-making in the hospitality sector. Design/methodology/approach This study employs a quantitative research approach harnessed through surveys and the application of partial least square structural equation modelling using SMART PLS 4. The hospitality sector being a highly competitive industry was selected for data collection. Findings The findings reveal that learning and reconfiguration capabilities have a significant positive individual impact on generating data-driven insights hence improving the effectiveness and efficiency of decision-making. Contrarily, the integration capabilities standalone did not influence in pointing out the statistical significance of the relationship with data-driven insight or decision-making quality, an indication that integration has to be combined with other dynamic capabilities for it to be effective. Originality/Value This study adds novelty to the literature by examining the individual influences of dynamic capabilities—learning, integration, and reconfiguration on data-driven insights and decision-making quality. Unlike previous studies that have generally explored bundles of capabilities, this study isolates each to answer the more nuanced question of how organizations can, in a strategic manner, invest in certain dynamic capabilities that can improve decision-making.

On formal modeling, analysis and optimization of reconfigurable manufacturing systems

ABSTRACT This paper deals with the formal specification and multi-objective optimization of reconfigurable manufacturing systems (RMSs). RMSs are characterized by their dynamic structure, crucial for responding to functional variations, adjusting production capacity and overcoming operational dysfuntions promptly and cos-effectively. The effective utilization of this dynamic capability depends on thorough study and optimization of RMS configurations. To tackle this challenge, a novel formalism called genetic reconfigurable object nets (Gen-RONs) is introduced. Gen-RONs formalism integrates the modeling, verification and reconfiguration capabilities of reconfigurable object nets with advanced multi-objective techniques from genetic algorithms. Within Gen-RONs, Petri nets serve to: (i) encode RMS configurations, (ii) manage RMS scheduling and (iii) employ graph transformation theory rules as genetic algorithm operators for real-time system reconfiguration. Thus, Gen-RONs formalism provides a robust framework for optimizing RMSs using genetic algorithms. To ensure deadlock-free RMS configurations, Gen-RONs incorporate a binary tree-based technique. Furthermore, Taguchi’s method is employed to fine-tune genetic algorithm parameters. The contribution of this paper is demonstrated through a case study involving an RMS and the widely used genetic algorithm NSGA-II. Significant gains in terms of the number of solutions (i.e. configurations) and the criteria values are achieved.

A transforming flexahedron origami inspired gripper actuated by shape memory alloy

Abstract The transforming flexahedron origami (TFO) is a unique origami that combines the functions of fingers and palm, with a symmetrical distribution of four-finger structures and good shape adaptability. In this paper, inspired by the TFO configuration, a new type of reconfigurable gripper is designed. The kinematics and mechanics of the gripper are analyzed theoretically, and paper folding is used as the skeleton, thin film as the skin, shape memory alloy spring as the actuator, and active cooling is used to enhance the actuator efficiency. Different kinds of objects are used to test the gripping performance of the gripper, including shape adaptive ability and gripping robustness test, and the test results show that the gripper is with good gripping performance. The reconfigurable capability of the TFO configuration allows the hand gripper to have two gripping modes, adapting to the adaptive gripping of thin rod-like objects and curved objects, which is difficult to achieve with a single gripping mode. The TFO gripper provides a new way of thinking for the design of flexible and origami grippers in the future.

Photonic generation and transmission of dual-band double-TBWP chirped microwave waveforms with frequency multiplication and immunity to dispersion-induced power fading

A novel photonic approach for generating and transmitting dual-band double-time bandwidth product (TBWP) chirped microwave waveforms with frequency multiplication and immunity to dispersion-induced power fading is proposed. Utilizing an integrated dual-drive dual-parallel Mach-Zehnder modulator (DD-DPMZM), single-sideband modulation of the RF input and suppression of odd-order optical sidebands are achieved. By adjusting the RF input's centre frequency and the DD-DPMZM's bias voltages, dual-band waveforms with frequency multiplication are realized, enabling transmission through optical fibres without dispersion-induced power fading. Experimental validation demonstrates successful transmission over dispersion compensation modules equivalent to 60 km or 20 km of single-mode fibre. The proposed system features a simplified architecture, reconfigurability, and robust anti-dispersion capabilities, making it highly suitable for distributed multi-band radar networks over optical fibre links.

Network reconfiguration and integration of distributed energy resources in distribution network by novel optimization techniques

Nowadays, electrical load demand in radial distribution networks (RDN) is continuously growing, therefore RDNs are facing some serious challenges like voltage violation and line losses. Since modern RDNs have reconfiguration capabilities, optimal network reconfiguration is preferred over the costly construction of new lines and cables. In addition, the optimal integration of distributed energy resources (DER) helps to decrease above mentioned network challenges. This paper presents an improved version of the radiality maintenance algorithm (IRMA) to solve the optimal reconfiguration problem using a meta-heuristics algorithm. It also proposes two different schemes of algorithms by the blending of a Genetic algorithm (GA) and Teaching learning-based optimization (TLBO) to solve the optimal DER integration problem, where blending enhances the search space of each scheme which helps to find global minima in less iterations and time, while existing algorithms get stuck in local minima with same number of searching agents. The proposed problems are solved by minimizing active power loss by the single objective function and the sum of active power loss, reactive power loss, and voltage deviation index by multi-objective function using the weighted sum method where all objectives are equally dealt with, and their sum is used as single fitness function for the optimization algorithm. Four case studies are simulated using different DER technologies to improve each objective function. The efficiency of the proposed IRMA and two newly developed schemes of optimization algorithms, named GA-TLBO and TLBO-GA, are tested on two IEEE benchmark RDN of 33 and 69 buses. The results validate the efficiency of proposed algorithms that remarkably minimize a single objective from 210.9800 kW in the base case to 58.8768 kW, whereas existing algorithms like GWO and HHO were able to only reduce it to 72.7861 kW and 72.900 kW for IEEE 33 bus RDN, respectively. Similarly, for IEEE 69 bus system, single objective is reduced from base case of 224.9917 kW to 36.2543 kW, while existing algorithms like QOTLBO and QOSIMBO were only able to reduce it to 71.6250 kW and 71 kW, respectively. Furthermore, in multi-objective functions, reactive power losses and voltage deviation are also significantly improved from their base values. After that, the results of improved algorithms are compared with those of existing algorithms in the literature review for a comprehensive evaluation, which proves that proposed algorithm schemes are much more efficient and stable for the proposed problem as well as for standard benchmark optimization functions.

Reversionary Control Modes for the Mitigation of Failures in a Partially Turboelectric Aircraft Propulsion System

Abstract In support of emission and fuel burn reduction goals, the aviation industry is actively pursuing the advancement of electrified aircraft propulsion (EAP) technology. This includes turboelectric and hybrid electric propulsion designs that combine gas turbine engine and electrical system hardware. Such architectures exhibit a high degree of coupling between subsystems. This drives the need for system-level control strategies to ensure the safe, coordinated, and efficient operation of all subsystems. The design and certification of any aircraft propulsion system requires that all potential subsystem failures are identified, and the hazards posed by these failures are appropriately mitigated. This requirement is particularly challenging for EAP systems due to their integrated nature. One approach to assist in EAP failure mitigation is the inclusion of automated reconfiguration capabilities within the propulsion control system. Such control modes, referred to as reversionary control modes, are designed to automatically detect failures and activate backup control modes upon failure detection. This paper covers the design and evaluation of reversionary control mode logic developed for a partially turboelectric propulsion concept. Test results from a real-time hardware-in-the-loop evaluation of the concept are also presented and discussed. The results show that the developed reversionary control logic can successfully detect and mitigate subsystem failures in a representative environment that includes actual electrical system hardware.

Spatially Resolved Light-Induced Ferroelectric Polarization in α-In2Se3/Te Heterojunctions.

Light-induced ferroelectric polarization in 2D layered ferroelectric materials holds promise in photodetectors with multilevel current and reconfigurable capabilities. However, translating this potential into practical applications for high-density optoelectronic information storage remains challenging. In this work, an α-In2Se3/Te heterojunction design that demonstrates spatially resolved, multilevel, nonvolatile photoresponsivity is presented. Using photocurrent mapping, the spatially localized light-induced poling state (LIPS) is visualized in the junction region. This localized ferroelectric polarization induced by illumination enables the heterojunction to exhibit enhanced photoresponsivity. Unlike previous reports that observe multilevel polarization enhancement in electrical resistance, the device shows nonvolatile photoresponsivity enhancement under illumination. After polarization saturation, the photocurrent increases up to 1000 times, from 10-12 to 10-9 A under the irradiation of a 520nm laser with a power of 1.69 nW, compared to the initial state in a self-driven mode. The photodetector exhibits high detectivity of 4.6×1010 Jones, with a rise time of 27 µs and a fall time of 28 µs. Furthermore, the device's localized poling characteristics and multilevel photoresponse enable spatially multiplexed optical information storage. These results advance the understanding of LIPS in 2D ferroelectric materials, paving the way for optoelectronic information storage technologies.

Does the nexus of corporate social responsibility and green dynamic capabilities drive firms toward green technological innovation? The moderating role of green transformational leadership

Dynamic organizations actively capitalize on social responsibility (CSR) and environmental recovery strategies, considering social and ecological challenges. However, how CSR-committed firms respond to changing environmental technologies and sense critical social and environmental trends is unknown. This study examines the role of CSR in developing green dynamic capabilities (GDC) of organizations, including resource reconfiguration, integration, and environmental insight capabilities, and it explains whether they strengthen organizational green technological innovation (GTI) performance. Specifically, it takes green transformational leadership (GTL) as the moderating variable in the relationship between GDC and GTI. The data collected from 295 manufacturing managers analyzed through linear regression and structural equation modeling indicated that CSR-committed firms have significant capability to integrate and reconfigure green resources and environment insight capability, leading toward improved GTI. The study establishes that GTL bolsters the relationship between resource integration and environmental insights aspects of GDC and GTI; while insignificant relationship exists for resource reconfiguration. Considering their pivotal green transformative role, it suggests that organizational leaders should prioritize sustainability, inspire vision, empower employees, and foster a culture of innovation to leverage the organizational GDC to boost GTI and concludes with policy implications.

Digital technology adoption and radical and incremental innovations: evidence from the Chinese wind power industry

PurposeDigital technologies open up unprecedented opportunities for the Chinese wind power industry to make rapid and comprehensive decisions. However, the relationship between digital technology adoption and radical and incremental innovations has not been empirically assessed. In addition, reconfiguration capability is the ability of firms to transform and respond to changes. How such an organizational capability influences the effectiveness of digital technology adoption is a black box. In response, this study aims to assess the relationship between digital technology adoption and radical and incremental innovations in the Chinese wind power industry and elucidate the moderating role of reconfiguration capability.Design/methodology/approachBased on the data of listed companies in the Chinese wind power industry from 2006 to 2020, this study constructs regression models and validates the hypotheses.FindingsThe correlation between digital technology adoption and incremental innovation in the wind power industry in China is significantly positive, but the relationship between digital technology adoption and radical innovation is not significant. In addition, reconfiguration capability significantly enhances the incentive effect of digital technology adoption on incremental innovation.Originality/valueTo the best of the authors’ knowledge, this study is one of the earliest to explore the heterogeneous relationships between digital technology adoption and radical and incremental innovations in emerging economies, advancing the theoretical insights into how digital transformation can foster different categories of technological innovations. Moreover, this study embeds dynamic capability theory into digital transformation research by exploring the boundary conditions for the effectiveness of digital technology adoption from the perspective of organizational dynamic capability, thereby expanding the boundaries of existing knowledge.

Unlocking responsive flexibility within local energy communities in the presence of grid-scale batteries

The transition towards a decentralized, decarbonized, and distributed energy infrastructure necessitates techno-economic initiatives to empower local energy communities (LECs) to achieve self-reliance and evolve into self-sustained electricity networks. It is crucial to underscore the significance of network resilience, especially in the context of local power generation, battery storage, and the radial topology of low-voltage (LV) networks. While contemporary LV networks have made significant attempts to integrate distributed energy resources (DERs), the notable deficiency lies in their lack of network redundancy, posing a substantial challenge in the occurrence of high-impact, low-probability (HILP) events. Therefore, to enhance LV network resilience and leverage its capability to withstand unexpected disruptions, the network operator needs to unlock the potential contributions of end-users within the active distribution networks (ADNs). In this paper, a comprehensive model is developed based on multi-temporal optimal power flow (MTOPF) for unbalanced LV networks addressing the technical issues in islanded microgrid operational planning. The contributions of the grid-scale batteries in forming islanded microgrids and the flexibility that can be provided by the end-users in the LEC have been considered in this paper. To demonstrate the performance of the proposed model, the simulation studies have been carried out on a part of medium and low voltage networks, consisting of network reconfiguration and load transferring capability to reduce the service interruptions during HILP events. The energy-not-served (ENS) is chosen as one of the key performance indicators (KPIs) in this study. With the unlocking flexibility potentials and contribution of the DERs, including grid-scale energy storage (GES) units and Photovoltaic (PV) panels, the ENS has been reduced from 700.8 kWh to 447.5 kWh by activating the local resources, proper switching action, and contribution of the flexible loads, for one of the severe HILP events, i.e., the main grid outage. In this case, the full load curtailment index is reduced from 180 to 106 client hours.

Digitalization and productivity in the Chinese wind power industry: the serial mediating role of reconfiguration capability and technological innovation

PurposeWind power is the most promising renewable energy source in China. The development of digital technologies has brought about unprecedented growth opportunities and prospects for wind power. However, the relationship between digital technology adoption and total factor productivity (TFP) in the wind power industry in China has not been empirically assessed. This study aims to clarify whether and how digital technology adoption affects the TFP of the wind power industry in China.Design/methodology/approachBased on the data of listed companies in the Chinese wind power industry from 2006 to 2021, this study proposes and verifies relevant hypotheses with two-way fixed effects regression models.FindingsThe empirical results indicate that digital technology adoption is the cornerstone of the TFP of China’s wind power industry. Reconfiguration capability and technological innovation serially mediate the above relationship. In addition, the incentive effect of digital technology adoption varies among wind power firms. The impact of digital technology adoption is more significant in firms that are old and located in economically undeveloped regions.Originality/valueThis study is one of the earliest attempts to investigate the relationship between digital technology adoption and TFP in the renewable energy sectors of emerging economies. By integrating dynamic capability theory and the analytical framework of “Capability-Behavior-Performance” into the digital context, this study offers the theoretical insights into how digital technology adoption can enhance organizational reconfiguration capability, thereby stimulating technological innovation and subsequent TFP. Additionally, the impacts of different digital technologies are estimated in entirety, rather than in isolation.

What is the Effect of Digital Platform Capabilities on the Opportunity Set? The Moderating Role of Governance Mechanisms

Abstract In the digital age, certain digital platforms, such as Google Android and Tencent, have experienced remarkable growth. Nevertheless, other digital platforms encounter severe challenges that contribute to their downfall. The development disparities among digital platforms are primarily attributed to the opportunity set, an aspect still underexplored in the existing research. Based on the Chinese context, this study adopts the dynamic capabilities view to investigate how digital platform capabilities, specifically platform integration and reconfiguration capabilities, influence the opportunity set from the perspective of complementors. Additionally, we examine the moderating impact of governance mechanisms, encompassing formal contracts and relational mechanisms, challenging the prevailing notion that formal contracts always benefit platforms. Drawing insights from survey data including 476 complementors across 48 Chinese digital platforms, our findings reveal that the positive relationship between platform integration capability and the opportunity set is strengthened when formal contracts are employed. However, the positive relationship between platform reconfiguration capability and the opportunity set weakens with formal contracts but strengthens with relational mechanisms. Our study enriches the opportunity set research by empirically revealing the formation mechanism of the opportunity set in digital platforms from the dynamic capabilities view. Furthermore, it extends the application of platform governance literature by introducing nuanced perspectives on the boundary conditions of governance mechanisms in the Chinese context. Ultimately, this paper offers valuable practical insights for platform owners in China, guiding them in enhancing their capabilities and crafting effective governance mechanisms. Simultaneously, it provides direction for Chinese complementors to leverage both formal and informal relationships with platform owners, effectively transforming digital platform capabilities into the opportunity set.

A low-profile frequency- and pattern-reconfigurable metantenna for UAV joint RadCom systems

To address the specific requirements of antennas in Unmanned Aerial Vehicle (UAV) joint radar-communication (RadCom) systems, a novel low-profile reconfigurable metantenna with the capability of frequency and pattern reconfiguration is proposed in this paper. The proposed antenna consists of a metasurface layer with 3 × 3 square unit cells and a simple feeding network with two pairs of PIN diodes. Specifically, the designed metantenna has a low profile of 0.064 λ0 (λ0 is the free space wavelength at 5.5 GHz). And measured results show that, for the broadside radiation mode, the −10 dB operating bandwidth is about 12.1 %, ranging from 5.05 to 5.7 GHz with a maximum gain of 8.9 dBi. For the conical radiation mode, the −10 dB operating bandwidth is about 21.9 %, ranging from 5.88 to 7.33 GHz with a maximum gain of 6.83 dBi. Given its excellent radiation performance, the metantenna designed for UAV joint RadCom systems holds significant research significance and value in the field of multifunctional reconfigurable antennas.

Multistability of segmented rings by programming natural curvature

Multistable structures have widespread applications in the design of deployable aerospace systems, mechanical metamaterials, flexible electronics, and multimodal soft robotics due to their capability of shape reconfiguration between multiple stable states. Recently, the snap-folding of rings, often in the form of circles or polygons, has shown the capability of inducing diverse stable configurations. The natural curvature of the rod segment (curvature in its stress-free state) plays an important role in the elastic stability of these rings, determining the number and form of their stable configurations during folding. Here, we develop a general theoretical framework for the elastic stability analysis of segmented rings (e.g., polygons) based on an energy variational approach. Combining this framework with finite element simulations, we map out all planar stable configurations of various segmented rings and determine the natural curvature ranges of their multistable states. The theoretical and numerical results are validated through experiments, which demonstrate that a segmented ring with a rectangular cross-section can show up to six distinct planar stable states. The results also reveal that, by rationally designing the segment number and natural curvature of the segmented ring, its one- or multiloop configuration can store more strain energy than a circular ring of the same total length. We envision that the proposed strategy for achieving multistability in the current work will aid in the design of multifunctional, reconfigurable, and deployable structures.

Shape memory polymer lattice structures with programmable thermal recovery time

Shape memory polymer (SMP) lattice structures have garnered considerable attention due to their intrinsic capability for self-recovery and mechanical reconfiguration. The temporal path, encompassing aspects such as recovery time and deployment sequence, of the shape recovery process in SMP lattice structures holds paramount significance across various domains, including but not limited to medical devices and space deployable structures. Nonetheless, the programming of shape recovery time or deployment sequences in SMP lattice structures, particularly in scenarios devoid of external controllers, remains a challenge. In addressing these challenges, this study presents a novel class of SMP structures endowed with customizable thermal recovery times and programmable deployment sequences, leveraging the influence of structural geometry. Notably, the programmable recovery time and serialized deployment behavior of the proposed SMP lattice structure are achieved within a constant temperature environment, obviating the need for external time-varying stimuli. Finite element simulations and experimental validations corroborate that the proposed SMP structures can be programmed to exhibit recovery times spanning from mere seconds to several hundred seconds. Moreover, a three-stage sequential recovery behavior is attained without necessitating prior local configuration programming. Furthermore, exploiting the distinctive sequential reversibility inherent in a constant high-temperature environment, the designed lattice structure showcases the ability to transition to multiple distinct stable configurations by modulating the duration of high-temperature exposure. The proposed recovery time programmable SMP lattice structure thus presents a viable avenue for realizing intricate multistage controllable shape-shifting structures devoid of external control equipment.