Two-sided Model Research Articles

Exploring engineering applications of two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use pricing

With the rising demand for energy and resource shortages, disassembly as energy-intensive industry should be more attention to energy conservation. However, the non-disassemblability of components (CND) and fixed-constant disassembly costs make this process relatively expensive compared to the potential profit. This paper introduces a two-sided partial destructive disassembly model to solve problem of CND. To more accurately reflect real-world conditions, this study incorporates into the model, which was not considered in previous work. A mixed integer planning model is developed by exploring the impact of time-of-use tariffs on energy consumption and profit, and its correctness is verified in a small-scale case. Subsequently, we propose an improved water cycle algorithm (IWCA) to increase the model solving efficiency. Using non-destructive, destructive, and human-robot hybrid disassembly as benchmark cases, we compare 11 algorithms from existing research, and verify the superiority of IWCA in solving different cases. Finally, the proposed method is validated using automotive engine as an example. The results show that: (1) IWCA is superior to the four latest algorithms in solving the two-sided partial destructive disassembly line balancing problem under electrical limiting and time-of-use electricity pricing. (2) The two-sided partial destructive disassembly effectively addresses the CND issue, reducing the smoothing index by 10.24% and increasing disassembly profit by 3.19% compared to other algorithms. (3) The partial destructive disassembly is better suited for addressing issues in real production processes than non-destructive or complete destructive disassembly methods.

Bulk reconstruction from generalized free fields

We propose a generalized protocol for constructing a dual free bulk theory from any boundary model of generalized free fields (GFFs). To construct the bulk operators, we employ a linear ansatz similar to the Hamilton-Kabat-Liftschytz-Lowe (HKLL) construction. However, unlike the HKLL construction, our protocol relies only on boundary data with no presupposed form for the bulk equations of motion, so our reconstructed bulk is fully emergent. For a (1+1)d bulk, imposing the bulk operator algebra as well as a causal structure is sufficient to determine the bulk operators and dynamics uniquely up to an unimportant local basis choice. We study the bulk construction for several two-sided SYK models with and without coupling between the two sides, and find good agreement with known results in the low-temperature conformal limit. In particular, we find bulk features consistent with the presence of a black hole horizon for the TFD state, and characterize the infalling fermion modes. We are also able to extract bulk quantities such as the curvature and bulk state correlators in terms of boundary quantities. In the presence of coupling between the two SYK models, we are able to observe evidence of the shockwave geometry and the traversable wormhole geometry using the two-sided mutual information between the reconstructed bulk operators. Our results show evidence that features of the geometric bulk can survive away from the low temperature conformal limit. Furthermore, the generality of the protocol allows it to be applied to other boundary theories with no canonical holographic bulk.

Convection heat and mass transfer of non-Newtonian fluids in porous media with Soret and Dufour effects using a two-sided space fractional derivative model

Non-Newtonian fluids within heterogeneous porous media may give rise to complex spatial energy and mass distributions owing to non-local mechanisms, the modeling of which remains unclear. This study investigates the natural convection heat and mass transfer of non-Newtonian fluids in porous media, considering the Soret and Dufour effects. A strongly coupled model is developed to quantify the coupled transport of energy and reactive pollutants with the non-Newtonian fluid. The constitutive equation for the non-Newtonian fluid is described by a two-sided Caputo type space fractional velocity gradient. The governing equation, with a symmetric diffusion term, is effectively solved using a stable and convergent shifted Grünwald–Letnikov formula. The influences of three important parameters, which are the average skin friction coefficient, the average Nusselt number, and the Sherwood number, on fluid heat and mass transfer are calculated and analyzed. Numerical results reveal a significant interaction between the fractional derivative and the buoyancy ratio number, both of which affect the average skin friction coefficient. Furthermore, the average Nusselt number increases with the Dufour number while decreasing with the average Sherwood number. These findings enhance our understandings of the dynamics of energy and mass co-transport in non-Newtonian fluids, particularly in relation to their constitutive equation featuring spatial non-local properties.

A two-sided equilibrium model of Vehicle-to-Vehicle charging platform

A novel mobile charging service utilizing vehicle-to-vehicle (V2V) charging technology has been proposed as a complement to fixed charging infrastructure (CI), enabling electric vehicles (EVs) to exchange electricity. This study develops a two-sided equilibrium model for a V2V charging platform, where the demand-side charging vehicles (CVs) choose between charging piles and the V2V platform, and the supple-side discharging vehicles (DVs) decide whether to provide discharging services. The V2V platform matches CVs with DVs, receiving compensation from CV owners and reimbursing DV owners. To explore the strategic interactions between the V2V platform and fixed CI operators, we construct an analytical bi-level model that examines different operation regimes, including competitive and cooperative scenarios, i.e., non-cooperative game and Nash Bargaining game. The lower-level model is a two-sided equilibrium model that quantifies charging and discharging choices of EV owners, while the upper-level model optimizes the pricing decisions of the V2V platform and fixed CI operator. Numerical results indicate that the introduction of the V2V platform can reduce the overall charging costs, thus encourage the use of public charging services. Furthermore, it is suggested that the V2V platform be managed by independent enterprises, rather than existing fixed CI operators, to promote the EVs at relatively low charging costs.

Business expansion strategy of two-sided platform considering technology R & D effect and congestion effect

PurposeA new model for two-sided platforms is presented, incorporating both the original business and an expanded (new) business. Previous studies have neglected the impact of technology R & D on the new business aspect of two-sided platforms. This study addresses this gap by examining the technology R & D effect on the new business while also considering the congestion effect on the original business. It investigates the optimal pricing and user scales for both the original and new businesses. Additionally, the profits of the original business, the new business, and the overall two-sided platform are analyzed.Design/methodology/approachPrevious studies have overlooked the technology R & D effect on the new business aspect of two-sided platforms. Therefore, this study focuses on examining the technology R & D effect on the new business. Additionally, the congestion effect on the original business is considered. To determine the optimal prices for both sides of the original and new businesses, a game sequence model is introduced.FindingsThe optimal price on the service buyers (defined b side) of new business increases only with regard to technology R & D effect on b side of new business increasing. The optimal price on b side of new business is equal to half of the b-side R & D effect. The optimal profit of original business decreases with regard to the technology R & D effect of new business and cross-market network effect on the services provider (defined s side) between original business and new business increasing, respectively. To gain optimal profit of two-sided platform, the two-sided platform adopts some strategies to improve the congestion.Originality/valueA new two-sided platform model is stated, in which the technology R & D effect is embraced. The expanded business scenario of two-sided platform is considered, that is, the two-sided platform has one business firstly and a new business is developed or improved of two-sided platform. To solve the prices strategy of original business and new business, a game sequence of the original business and new business is presented.

Long-wave instabilities of a power-law fluid flowing over a heated, uneven and porous incline: A two-sided model

The stability conditions of a two-dimensional gravity-driven flow of a thin layer of a power-law fluid flowing over a heated, uneven, inclined porous surface are investigated. A two-sided model is employed to account for the bottom filtration in the porous layer. The governing equations are reduced under the long-wave approximation and the cross-stream dependence is eliminated by means of the Integral Boundary Layer technique. Floquet–Bloch theory is used to investigate at linear level how the porous bottom waviness influences the thermocapillarity stability of the flow in a shear-thinning fluid. Differently from the even case, the linear stability analysis suggests that for flow over sufficiently wavy undulations the thermocapillarity may stabilize the equilibrium flow, depending on the values of dimensionless governing numbers and parameters. This stabilizing phenomenon is enhanced by the shear-thinning rheology of the fluid while it is reduced by the permeability of the layer. Numerical simulations, performed solving the reduced nonlinear model through a second order Finite Volume scheme, confirm the results of the linear stability analysis.

Mathematical modeling of concentration influence on evaporative convection in a bilayer system of binary mixtures

A problem of evaporative buoyancy-thermocapillary convection in a two-phase system of binary media is studied. Characteristics of a joint steady flow of evaporating fluid and gas in a narrow plane horizontal channel are analyzed on the example of aqueous ethanol solution and mixture of the nitrogen with the ethanol vapor. The influence of solutal effects related to changes in the ethanol concentration in the liquid mixture is scrutinized. New exact solution of thermosolutal convection equations is constructed in the framework of a two-sided model based on the Oberbeck–Boussinesque approximation. The model used implies the presence of the liquid–gas interface admitting evaporation where surface phenomena play a key role. The testing of problem statements is performed in order to determine feasible closing relations. A correct problem statement is proposed that provides acceptable accordance with known experimental data concerning both the working liquid properties and possible pattern of the bilayer flows. Non-linear character of dependence of evaporation rate on the concentration of the aqueous solution is established. The solution predicts the decrease in evaporation rate due to the diffusion resistance effect for some compositions of the liquid mixture, thereby it is shown the possibility of control of the heat exchange parameter by means of the choice of the working fluid compound. The results obtained can be useful under developing the experimental methods for exploration of the interfacial effects in multicomponent fluids.

Quantum otto machine in Lipkin-Meshkov-Glick model with magnetic field and a symmetric cross interaction

This study investigates the quantum heat correlations associated with the quantum Otto machine, considering the discrete sides of the Lipkin-Meshkov-Glick model as the working medium in the presence of a magnetic field and a symmetric cross interaction. The eigenenergy and occupation probabilities of two-sided and three-sided spin interactions are determined at thermal equilibrium. The results reveal symmetrical heat correlations around the coupling of the symmetric cross interaction, regardless of whether the working medium adopts anisotropic XY, Ising model, or mixed ferromagnetism. The work done by two or three sides of the mixed ferromagnetic working substance exhibits symmetry but with different maximum bounds. Furthermore, the efficiency of the two-sided mixed ferromagnetism model improves as the exchange parameter increases, while the maximum efficiency of the anisotropic XY model is lower compared to the efficiency of the Ising model and mixed ferromagnetism. It is also highlighted that a quantum heat engine or refrigerator can be generated by controlling the system’s anisotropy parameter using a three-sided spin interaction.

Research and Design of a Chicken Wing Testing and Weight Grading Device

This thesis introduces a nondestructive inspection and weight grading device for chicken wings to replace the traditional manual grading operation. A two-sided quality nondestructive inspection model of chicken wings based on the YOLO v7-tiny target detection algorithm is designed and deployed in a Jetson Xavier NX embedded platform. An STM32 microcontroller is used as the main control platform, and a wing turning device adapting to the conveyor belt speed, dynamic weighing, and a high-efficiency intelligent grading unit are developed, and the prototype is optimized and verified in experiments. Experiments show that the device can grade four chicken wings per second, with a comprehensive accuracy rate of 98.4%, which is better than the traditional grading methods in terms of efficiency and accuracy.

Two-sided matching decision method and application based on subject differences in interval intuitionistic fuzzy environment

In this paper, a two-sided matching decision model based on interval-valued intuitionistic fuzzy environment is proposed to maximize the demand of individual differences. Firstly, the attribute feature table and weight matrix of both agents are constructed, and a formula for calculating the comprehensive advantage in the interval-valued intuitionistic fuzzy environment is given, namely the interval-valued intuitionistic fuzzy comprehensive advantage aggregation operator (IIFCAAO); Secondly, the interval-valued intuitionistic fuzzy decision matrix of both agents is calculated by using the comprehensive advantage aggregation operator, and the interval-valued intuitionistic fuzzy decision matrix is transformed into a score function matrix by using a score function formula; Thirdly, the two-sided matching model is established to maximize the score; Finally, the scientificity and practicability of the model are verified by an example of college students changing their majors.

Non-Adaptive and Adaptive Two-Sided Search with Fast Objects

In 1946, Koopman introduced a two-sided search model. In this model, a searched object is active and can move, at most, one step after each test. We analyze the model of a combinatorial two-sided search by allowing more moves of the searched object after each test. We give strategies and show that they are optimal. We consider adaptive and non-adaptive strategies. We show the surprising result that with the combinatorial two-sided search on a path graph, the optimal non-adaptive search needs the same number of tests as the corresponding adaptive strategy does. The strategy obtained can also be used as an encoding strategy to sent the position of a moving element through a transmission channel.

Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications

In many real-life scenarios, one variable is observed only if the other concomitant variable or the set of concomitant variables (in the multivariate scenario) is truncated from below, above, or from a two-sided approach. Hidden truncation models have been applied to analyze data when bivariate or multivariate observations are subject to some form of truncation. While the statistical inference for hidden truncation models (truncation from above) under the frequentist and the Bayesian paradigms has been adequately discussed in the literature, the estimation of a two-sided hidden truncation model under the Bayesian framework has not yet been discussed. In this paper, we consider the Bayesian inference for a general two-sided hidden truncation model based on the Arnold–Strauss bivariate exponential distribution. In addition, a Bayesian model selection approach based on the Bayes factor to select between models without truncation, with truncation from below, from above, and two-sided truncation is also explored. An extensive simulation study is carried out for varying parameter choices under the conjugate prior set-up. For illustrative purposes, a real-life dataset is re-analyzed to demonstrate the applicability of the proposed methodology.

The Analysis of Influence of Compression Forces on the Strength of MM „Stahl 1018” Composite with the use of SolidWorks

Composite Multimetal Stahl 1018 has been used in the process of preserving worn surfaces of materials operating in extremely difficult conditions. This work presents the results of simulation of the mechanical properties of steel samples in contact with the MM "Stahl 1018" composite. Tests were carried out for various models with with one- and two-sided contact sample models with the composite. Theoretical tests were conducted in the "SolidWorks 2019" environment. It was found that the maximum strength of the specimen layer made of MM "Stahl 1018" material, which closely adheres to the surfaces of steel bases on both sides (444 MPa) is higher than that of the material layer in one-sided contact (358 MPa), for specimens with a height of 4.5 mm and at 80 °C. Simulations also revealed a significant increase in the maximum stress in the composite MM "Stahl 1018" for specimens in the so-called free state from 285 MPa to 358 MPa with the increasing temperature from 20 °C to 80 °C, for specimens 4.5 mm high.

Evolutionary stability strategies of tacit collusion in supervised container terminals

To investigate the long-term effects of the Port Authority’s supervision strategies on the container terminal’s collusion strategies, this study constructs a two-sided evolutionary game model consists of the Port Authority and a container terminal based on evolutionary game theory which usually examine a game’s long-term trends. Under the premise that the container terminal’s net profits from collusion strategy are greater than those from non-collusion strategy, the stability analysis demonstrates that the container terminal tend to choose collusion strategy, and the Port Authority tends to choose lax supervision strategy when the fine received by the container terminal is less than the Port Authority’s cost; the container terminal tends to choose collusion strategy, and the Port Authority tends to choose strict supervision strategy when the fine received by the container terminal is greater than the Port Authority’s cost and the sum of the fine and subsidy is less than the difference in the container terminal’s profits from collusion strategies. Finally, the numerical simulation results confirm the robustness of the stability analysis. These results can guide and benefit relevant stakeholders in the sustainable development of the container shipping supply chain.

Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach

Optimizing Revenue in Two-Sided Online Markets through Strategic Quality Selection and Information Disclosure Ensuring profitable operations in two-sided online marketplaces demands an astute analysis of seller quality and strategic information sharing with buyers. A recent paper, titled “Quality Selection in Two-Sided Markets: A Constrained Price Discrimination Approach” by B. Light, R. Johari, and G. Weintraub delves into the nuances of this operation. The authors explore the challenge that platforms encounter in deciding which sellers to allow and how much quality information to share with buyers in order to enhance platform revenue. Utilizing two distinct two-sided market models, the paper unveils conditions under which adopting straightforward information structures, such as excluding certain sellers or not differentiating among participating sellers, proves to be a revenue-maximizing strategy. This study utilizes a constrained price discrimination problem to reveal specific strategies platforms can use to adjust information structures in diverse market scenarios, providing insights for digital platforms aiming to navigate the marketplace more effectively.

Factors affecting Accountable Care Organizations' decisions to remain in or exit the Medicare Shared Savings Program following Pathways to Success.

The Medicare Shared Savings Program (MSSP) is an alternative payment model launched in 2012, creating Accountable Care Organizations (ACOs) to improve quality and lower costs for Traditional Medicare patients. Most MSSP participants were expected to shift from bearing no financial risk to a 2-sided risk model (ie, bonus if spending reduced below historical benchmarks, penalty if not), yet fewer than 20% did. Therefore, in 2019, the Centers for Medicare and Medicaid Services launched the Pathways to Success program, which required shifting to a 2-sided model within 12 months. For the first time, more ACOs exited than entered the MSSP. To understand these participation decisions, we conducted qualitative interviews with ACO leaders. Pathways caused ACOs to reassess their potential shared savings vs losses, particularly in light of benchmarking methodology changes; reconsider perceived nonrevenue benefits; and reassess participation in the MSSP vs other programs. As ACOs, particularly those assuming downside risk, have contained costs and enhanced care quality, policymakers should strive to improve MSSP enrollment rates in downside-risk models through strategies that allow ACOs to achieve shared savings and deliver accountable care.

Two-sided Interconnection-Based Model Reduction for Quadratic-Bilinear Systems

We propose a two-sided interconnection-based method for model order reduction of quadratic-bilinear systems. Exploiting the solution of an infinite-dimensional system of Sylvester-like equations we define the “swapped” nonlinear moment by a power series representation. We then consider together the “direct” moment and the “swapped” moment and propose two families of reduced-order models that achieve two-sided approximate moment matching. We illustrate the results of the paper on the problem of reducing the 1-D Burgers’ equation.

Financial Performance of Accountable Care Organizations: A 5-Year National Empirical Analysis.

Of 513 accountable care organizations (ACOs) participating in the Medicare Shared Savings Program (MSSP) in 2020, 67% generated a positive shared savings of approximately $2.3 billion. This research aimed to examine their financial performance trends and drivers over time. The unit of analysis was the ACO in each year of the study period from 2016 to 2020. The dependent variable was the ACOs' total shared savings earned annually per beneficiary. The independent variables included ACO age, risk model, clinician staffing type, and provider type (hybrid, hospital-led, or physician-led). Covariates were the average risk score among beneficiaries, payer type, and calendar year. The Centers for Medicare & Medicaid Services (CMS) public use files (PUFs) and a commercial healthcare data aggregator were the data sources. ACOs' earned shared savings grew annually by 35%, while the proportions of ACOs with positive shared savings grew by 21%. For 1-year increase in ACO age, an additional $0.57 of shared savings per beneficiary was observed. ACOs with two-sided risk contracting were associated with an average marginal increase of $109 in shared savings per beneficiary compared to ACOs with one-sided risk contracting. Primary care physicians were associated with the greatest increase in earned shared savings per beneficiary. In contrast, nurse practitioners/physician assistants/clinical nurse specialists were associated with a reduction in earned shared savings. Under a one-sided risk model, hospital-led ACOs were associated with $18 higher average shared savings earning per beneficiary compared to hybrid ACOs, while physician-led ACOs were associated with lower average saved shared earnings per beneficiary at -$2 compared to hybrid ACOs. Provider-type results were not statistically significant at the 5% nominal level. No statistically significant differences were observed between provider types under a two-sided risk model. For all ACO provider types, building broader primary care provider networks was correlated with positive financial results. Future research should examine whether ACOs are conducting specific preventive screenings for cancer or monitoring conditions such as diabetes, hypertension, heart disease, obesity, mental disorders, and joint disorders. Such studies may answer health policy and strategy questions about the effects of incentives for improved ACO performance in serving a healthier population.

A Distributionally Robust Optimization Approach to Two-Sided Chance-Constrained Stochastic Model Predictive Control With Unknown Noise Distribution

In this work, we propose a distributionally robust stochastic model predictive control (DR-SMPC) algorithm to address the problem of multiple two-sided chance constrained discrete-time linear systems corrupted by additive noise. The prevalent mechanism to cope with two-sided chance constraints is the so-called risk allocation approach, which conservatively approximates the two-sided chance constraints with two single chance constraints by applying Bool's inequality. In this proposed DR-SMPC framework, an exact second-order cone approach is adopted to abstract the multiple two-sided chance constraints by considering the first and second moments of the noise. With the proposed DR-SMPC algorithm, the worst-case probability of violating safety constraints is guaranteed to be within a pre-specified maximum value. By flexibly adjusting this pre-specified maximum probability, the feasible region of the initial state can be increased for the SMPC problem. The recursive feasibility and convergence of the proposed DR-SMPC are rigorously established by introducing a binary initialization strategy for the nominal state. A simulation study of a single spring and double mass system was conducted to demonstrate the effectiveness of the proposed DR-SMPC algorithm.

Dividend problem of an investment risk model under random observation

<p>We mainly studied the dividend payout with a two-sided jumps risk model under random observation. The two-sided jumps in the model represent random claims and random returns. First, we obtained the integral differential equation of the expected dividend under the boundary conditions. Because the equations cannot be solved directly under normal circumstances, we chose the sinc numerical method here to approximate the solution of the equations. Then the error analysis of the approximate solution was carried out to illustrate the rationality of the numerical method. Finally, some concrete numerical examples were given.</p>