Strategic Planning Model Research Articles

Examining the Intersection of Strategic Thinking and Continuous Process Improvement Through the Lens of Military Medical Education to Build a Novel Model.

In 2020, the U.S. Air Force School of Aerospace Medicine hired its first civilian dean since its founding in 1918, tasked with building the school's first strategic plan to modernize and improve the institution. Using a combination of military continuous process improvement and academic strategic thinking, the dean produced a highly successful strategic plan. However, its resource-heavy and time-consuming methodology made it difficult to replicate. This study aimed to create a novel and streamlined strategic planning model that combined best practices from continuous process improvement and strategic thinking without redundancy. A qualitative descriptive case study was used to analyze the detailed efforts through content analysis of 150 pages of documentation. A hybrid approach to coding uncovered 44 deductive codes and 5 inductive codes from 10 strategic tools. Results indicated a converging relationship between all strategic processes tested-strategic planning, strategic thinking, and continuous process improvement and their associated tools. A five-step model called the Triple "O" OODA Loop was created, combining best practice tools from strategic planning (purpose trident and SWOT analysis or strengths, weaknesses, opportunities, and threats), strategic thinking (Hot Spots scale and GOST framework or goals, objectives, strategies, and tactics) and continuous process improvement (phases 6-8).

Improving robustness in strategic energy planning: A novel decision support method to deal with epistemic uncertainties

This paper addresses the challenge of dealing with epistemic, i.e. non-probabilistic, uncertainties in strategic energy planning modelling. Current models have limited consideration of this type of uncertainty compared to probabilistic uncertainty, and also typically lead to overly conservative results. To address this issue, the contribution of the paper is to propose a novel decision support method which combines two decision-making methodologies into a single, internally consistent algorithm, and to show its applicability to real-size energy planning studies. Robust optimization is applied to address constraint uncertainties, while the minimax regret criterion is utilized for uncertainties in the objective function. This approach facilitates energy modelling exercises that can be more closely aligned with decision-makers' preferences for both feasibility and optimality. To demonstrate its effectiveness, the method is applied to a real-size strategic energy planning model, and the algorithm is shown to be able to provide detailed solutions in reasonable times. Ex-post evaluations confirm that this approach maintains robust optimization performance by effectively reducing the occurrence and magnitude of infeasibilities, while satisfying the minimax regret criterion across the entire range of uncertainties. Therefore, this integration preserves the distinct advantages of each methodology without any adverse effects when used together.

Replenishment And Automatic Pricing Strategy for Vegetable Products Based on Genetic Algorithm

In order to improve the accuracy of replenishment and pricing of vegetable commodities sold in supermarkets, and to maximise the benefits of vegetable commodities sold in supermarkets, this paper comprehensively establishes a strategic planning model for replenishment and automatic pricing of supermarkets. Firstly, we carry out descriptive statistical analysis and non-linear fitting on the historical sales data of supermarkets to find the distribution pattern of the sales of each single product of vegetables, and then find out the relationship between each single product of vegetables through correlation analysis. and then find out the relationship between each vegetable item through correlation analysis. After that, we built an LSTM time series forecasting model based on the cost data to predict the replenishment volume of the six vegetable categories in the coming week. Finally, in order to maximise the revenue of the superstore, we constructed a pricing planning model for the combination of vegetable categories, and solved the optimal purchase quantity and pricing strategy based on genetic algorithm.

Development of Entrepreneurship Strategic Planning Model at Al-Fitrah Islamic Boarding School Surabaya

Objective: This study aims to describe 1) feasibility, 2) practicality, and 3) the effectiveness of the entrepreneurship strategic plan model at Al-Fitrah Islamic Boarding School Surabaya. The natural conditions in the three Islamic boarding schools provide educational services at low and affordable costs from the community. Contributions in addition to educational services, it is also necessary to consider contributions to economic activities in the Islamic boarding school. Method: This research is a development research with a Research and Development (R&D) approach. The subjects of research in developing entrepreneurial strategic planning models in Islamic boarding schools are Islamic boarding school caregivers, ustadz, and students of Al-Fitrah Islamic Boarding School Surabaya. Results: The development results in an entrepreneurship strategic plan book at the Al Fithrah Islamic Boarding School Surabaya, which has been used to reference business plans for business actors in the Al Fithrah Islamic Boarding School Surabaya. The effectiveness of using products in the form of entrepreneurship strategic plan books at the Al Fithrah Islamic Boarding School Surabaya can be seen from the results of each strategy map and business plan made during the entrepreneurship strategic plan preparation workshop. Novelty: The entrepreneurship strategic plan book provides an overview of strategic initiatives in response to the SWOT analysis that has been carried out. This strategic initiative provides the goals to be achieved and what strategies must be made to achieve these goals.

Planning dynamic wireless charging infrastructure for battery electric bus systems with the joint optimization of charging scheduling

To address the battery-related shortcomings of battery electric buses (BEBs), dynamic wireless charging (DWC) technology that allows BEBs to charge while in motion has emerged, thereby extending the driving range and reducing the size of onboard batteries. The introduction of DWC technology raises a critical problem, namely, the deployment of DWC facilities. To resolve the infrastructure planning problem, this study first proposes a (higher-level) strategic planning model that optimizes the deployment of DWC facilities and battery capacity of BEBs, and then establishes a (lower-level) tactical planning model of optimal charging scheduling under the time-of-use (TOU) tariff mechanism considering the interdependence between infrastructure design and charging activities of BEBs. Mixed-integer nonlinear programming (MINLP) is proposed to optimize the model, aiming to minimize the overall cost associated with charging facilities, batteries, and charging. The proposed optimization model is tested and evaluated using a real-world bus system network, and the results demonstrate that the model effectively determines the DWC facility locations and battery sizes and optimizes the charging scheduling considering the TOU tariff for BEBs. The proposed model in this study provides a comprehensive guideline for relevant practitioners and further promotes the application of DWC technology in BEBs.

Crafting an Entrepreneurship Strategic Planning Model for Islamic Boarding Schools Through a Comprehensive Literature Review

Objective: This study aims to describe entrepreneurship planning strategies in Islamic boarding schools through a literature review. Method: This qualitative descriptive study employs library research to investigate entrepreneurship strategic planning models for Islamic boarding schools. Initially, articles were gathered on the topic in the last decades, with subsequent refinement resulting in a selection of 20 relevant articles. Results: The literature review navigates through entrepreneurship education in Islamic boarding schools, bringing together various perspectives, approaches, and results. Common surface themes include the amalgamation of entrepreneurial endeavors with religious principles, the quest for financial self-sufficiency, and the diverse effects on students, institutions, and local communities. Novelty: The novelty in this literature review lies in synthesizing diverse perspectives on entrepreneurship education in Islamic boarding schools. The unique intersection of entrepreneurial activities with religious values and the pursuit of economic independence offers a distinctive lens for understanding the dynamics of entrepreneurship education in this context.

Integrated Library Planning: A New Model for Strategic and Dynamic Planning, Management and Assessment, Myka Kennedy Stephens, Association of College and Research Libraries Publications, 2023, Softcover, 160 pages, $62.00.

Integrated Library Planning: A New Model for Strategic and Dynamic Planning, Management and Assessment, Myka Kennedy Stephens, Association of College and Research Libraries Publications, 2023, Softcover, 160 pages, $62.00.

Research and Practice on Strategic Planning and Resource Allocation Optimisation Model of Off-site Research Institute

Abstract Off-site research institutes serve as crucial platforms for universities to facilitate the translation and application of their scientific research outcomes. Additionally, these institutes act as vital intermediaries for local governments to harmonize scientific inputs with economic development and play a key role in the industrial transformation and elevation of regional science and innovation levels. Drawing on the triple helix theory, this paper outlines strategic planning for off-site research institutes and develops a multi-objective linear programming model aimed at optimizing resource allocation. This model focuses on enhancing both the efficiency of resource utilization and the efficiency of resource allocation at these institutes. To address the issue of local minima commonly encountered in optimization algorithms, this study employs a simulated annealing algorithm to refine the performance of the particle swarm optimization algorithm. The resulting hybrid algorithm termed the simulated annealing particle swarm algorithm, is applied to solve the proposed model and investigate the determinants of optimal resource allocation. The findings indicate a significant improvement in resource allocation efficiency, with the coefficient for heterogeneous research institutes decreasing from an average of 0.84 in 2020 to 0.68. This optimization has led to a more effective and rational distribution of resources, better meeting the needs of the institutes. Furthermore, the analysis reveals that financial support and talent introduction and development account for approximately 69.7% of the variance in the optimized development of resource allocation at these institutes. The study provides actionable insights that could guide the optimal development of off-site research institutes, offering valuable references for future applications.

Integrating DEA, balanced scorecard, and Lean Six Sigma in a total quality model for strategic planning and improving organisation performance: a case study

Integrating DEA, balanced scorecard, and Lean Six Sigma in a total quality model for strategic planning and improving organisation performance: a case study

Decision Support System for Strategic Planning in Educational Organization: A Survey

Strategic planning models and the provision of information for decision making in complex strategic circumstances are research topics of great interest. This research addresses the issue of supporting strategic planning decision-making in educational foundations by building a Decision Support System (DSS) to be used by decision-makers in carrying out their strategic planning process, the DSS is integrated in the entire organisation's information system database. This research provides an overview of DSS, the college planning process, the development of DSS through the use of artificial intelligence, and a framework for planning activities at different levels of the organisation to develop strategic plans. Based on the strategic planning process model, a DSS framework is proposed, along with decision support approaches for various DSS modules. DSS provides the best support (at individual, group, and organisational levels) for all stages of strategic planning decision-making. By applying DSS, it is possible to create more perfect circumstances to achieve sustainable future-orientated institutional goals.

Current changes and strategical directions of modernization of oilfield services market

Relevance. Innovative-technological development of oilfield service business is associated with the need of vertically integrated companies (VINCs) in services, which are largely dependent on fluctuations in demand for hydrocarbon raw materials, so the model of strategic planning of innovative-technological development of oilfield service, taking into account the current realities, will be in wide demand. Purpose of the research – Justification of the need to implement the model of strategic planning in innovation and technological development in oilfield service companies based on the analysis of current problems and trends in the oilfield service market. Main results. The analysis of problems and trends in the oilfield services market proves that the growing demand for hydrocarbons is the key factor determining the market growth and forming the outstripping demand for geological exploration, drilling and geophysical support. Increasing sanctions pressure may reduce the volume of high-tech service operations due to the withdrawal of multinationals from the Russian market, which may lead to stagnation of the oilfield services market and cause risks of lower oil and gas production levels. The pandemic-related drop in oil quotations on world stock exchanges has caused an increase in competition in both the Russian and global oilfield services markets, where two opposite trends have manifested themselves: on the one hand, there is a decline in demand for these services, while on the other – data on the growth of drilling volumes indicate the industry’s development prospects. New technological solutions increase the production efficiency of the oilfield service industry, which requires companies to focus on innovative development and use a model of strategic planning for the introduction of modern technologies together with classical market instruments, which determines the practical significance of the results of this study. Conclusion. The analysis of opportunities, trends and problems of oilfield service market development, as well as strategic priorities of oilfield service companies at the present stage confirms the significance and necessity of introducing innovative technologies to form and maintain competitive advantages in the existing global market. The strategic approach to modelling the development of oilfield service companies allows to increase the sustainability and stability of their development, as well as to reduce the negative impact on the environment in the changing energy landscape.

Стратегічне планування як спосіб здійснення державного управління

The article reveals the assumptions and main factors for the implementation of a system of state strategic planning in Ukraine as the key link in the process of public administration. The author shows a retrospective of the attempts to legislatively regulate relations in the field of strategic planning in Ukraine and obstacles to their implementation, as well as the practice of producing ersatz of such planning in the form of numerous programs and conceptual documents of various directions and areas of application that do not allow the executive branch to formulate and implement proactive policies for achieving national development goals, rational use of resources in the intended directions and sectors of national development. The article outlines the main aspects of the author's approach to building a model of strategic national planning as a basic subsystem of public administration, which allows to achieve the intended goals of nationally rooted development by creating mechanisms for coordinated and targeted efforts of all branches of executive power and to use the synergy of the planned regulatory and administrative influence of managerial decisions to achieve desirable results in conditions of war and modern challenges of globalization.

Regional Development Of Medan City

This study aims to analyze the influence of biogeophysical aspects, economic aspects, location aspects, socio-cultural aspects, institutional aspects, and environmental aspects on water supply and clean water demand in Medan City.The data used in the study are secondary and primary data obtained from relevant agencies and communities in Medan City. Secondary data were obtained from 1990 - 2012, and primary data were obtained from 30 respondents. The analysis model used is the Structural Equation Model (SEM) Lisrel PLS (Partial Least Square), the decision-making model or Analysis Hierarchy Process (AHP) model, and the strategic planning model or Strengths Weaknesses Opportunities Threats (SWOT) model. The results showed that: biogeophysical aspects have a positive and significant effect on water supply and clean water demand

An artificial intelligence transformation model – pod redesign of photomasks in semiconductor manufacturing

ABSTRACT This paper proposes a new enterprise intelligentization framework, by making the transition from process transformation to artificial intelligence (AI) transformation. The novel transformation framework can be decomposed into the conceptual model of AI strategic planning, the procedural model, the operational model, and the analytics model. For leading-edge microchip production, a new AI transformation project regarding the reticle SMIF pod (RSP) transport system designed by a medium-sized semiconductor tool vendor in Taiwan is presented. The technical advantages, gained from the implementation of the presented AI transformation project, over the existing RSP systems are manifold. The throughput and yield rate significantly increase on a semiconductor-fabrication-plant basis. The clean room construction costs less by approximately 3 million dollars per FAB, mainly attributed to the redesigned automatic optical inspection flow. The proposed model-based framework proves to be a viable tool from the process transformation to the AI transformation in the semiconductor manufacturing.

Роль человеческого капитала в стратегическом планировании развития аграрного сектора

The article considers the methodological approach to strategic planning of human capital in the agrarian sector. The theoretical model of strategic planning of formation and use of human capital is constructed, taking into account the specifics of the industry, and includes the goal, objectives, scientific methods of solution, tools for achieving the goal and the expected result. In the process of the research, the peculiarities of human capital of the agrarian sector complicating the strategic planning of its formation were determined. Based on the analysis of various methodological approaches, the scheme is defined and the algorithm of the methodology of strategic planning of human capital development in the agrarian sector, including six stages, is presented. A special place is given to the analysis of educational activity in the industry in the context of employee categories and measures to improve it as the main condition for strategic human capital development.

IT support services conceptual engagement model

The Information Technology (IT) Support Engagement Conceptual Model was considered in light of IT service management (ITSM) frameworks, including the IT Infrastructure Library (ITIL) and the Service Support and Service Delivery (SSSD) models in addition to the Ansoff strategic planning model. The IT service growth strategies model proposes a standardized approach to frame the enterprise Business to Business (B2B) IT services growth strategies from operational efficiency, diversification, evaluation, and incubation. The model identifies the IT support service strategies and priorities by examining the product maturity and support service status in the organization. The IT Support Conceptual Engagement Model provides a standardized decision-making strategic framework to view the support service ‘onboarding’ decision-making criteria. This model proposes three service influencing constructs that are; impact, volume, and complexity, aligned with corporate strategy to govern the service delivery decision-making process. The main contribution of this paper is to introduce the IT Support Engagement Conceptual Model as a novel framework to explain how enterprises can capture, identify, and strategize opportunities to expand an organization’s IT services in line with the corporate objectives. The model recommends different approaches and strategies to deal with different impact, volume, and complexity influencing factors while catering to any organization’s nuanced factors.

Coordinated flow model for strategic planning of autonomous mobility-on-demand systems

ABSTRACT High-quality strategic planning of autonomous mobility-on-demand (AMOD) systems is critical for the success of the subsequent phases of AMOD system implementation. To assist in strategic AMOD planning, we propose a dynamic and flexible flow-based model of an AMOD system. The proposed model is computationally fast while capturing the state transitions of two coordinated flows (i.e. co-flows): the AMOD service fleet vehicles and AMOD customers. Capturing important quantity dynamics and conservations through a system of ordinary differential equations, the model can economically respond to a large number and a wide range of scenario-testing requests. The paper illustrates the model efficacy through a basic example and a more realistic case study. The case study envisions replacing Manhattan's existing taxi service with a hypothetical AMOD system. The results show that even a simple co-flow model can robustly predict the systemwide AMOD dynamics and support the strategic planning of AMOD systems.

A hierarchical model for strategic and operational planning in blood transportation with drones.

Blood transportation is a critical aspect of the healthcare systems, ensuring whole blood and blood products are delivered to patients in a timely and efficient manner. However, transportation of blood and other medical supplies can be challenging, especially in urban areas with limited infrastructure and heavy traffic. Drones have become increasingly important in recent years as a means of delivering medical supplies, including blood, due to their ability to provide fast, reliable, and cost-effective transportation. This study proposes two mathematical programming models in the hierarchical structure to improve decision-making for strategic and operational planning in the blood supply chain network. The limited information available in strategic planning presents risks to the blood supply chain, making it imperative to address uncertainties. To tackle this challenge, a novel approach called Scenario-based Robust Bi-objective Optimization has been proposed. The first model employs this approach to efficiently handle demand uncertainty by simultaneously maximizing the covered demand and minimizing costs. The model is subsequently solved using the augmented ε-constraint method. The second model is a routing-scheduling operational model that aims to minimize the sum of operations time, taking into account time windows for blood collection centers and hospitals. The developed hierarchical model is implemented in a three-level supply chain of Tehran province under three crisis scenarios in different parts. The findings and analysis of this implementation suggest that it is beneficial to set up drone stations in cost-effective and central locations to avoid costly network design. Furthermore, utilizing the minimum number of feasible drones enhances operational time and results in cost savings and increased efficiency. Overall, this study highlights the potential of using drones for blood transportation in urban settings, which can have significant implications for improving the quality of healthcare delivery.

Comprehensive Exploration of the CR Model

In the rapidly evolving landscape of contemporary business, the imperative for effective strategic planning has become more pronounced than ever. This article introduces a Systemic Model of Strategic Planning, which integrates organizational, economic, and operating dimensions. The model is designed to fortify decision-making processes by navigating the intricate challenges inherent in the modern business environment. This study aims to provide a comprehensive understanding of the model's theoretical foundation and practical applicability. Drawing on established theories such as Systems Theory, Strategic Planning Theory, and Economic Business Models, our methodology synthesizes these frameworks to develop a robust theoretical structure for the Systemic Model. The literature review critically examines existing works on strategic planning, organizational culture, economic influences, and operating management. This serves as the cornerstone for our proposed model, emphasizing its departure from conventional approaches and its potential to revolutionize strategic planning. The Systemic Model of Strategic Planning is presented in detail, elucidating its organizational, economic, and operating sides. Each element is explored to reveal its specific role and how it contributes to the model's holistic approach, offering a unique perspective in contrast to traditional planning frameworks. This article concludes by exploring the practical utility of the Systemic Model in real-world scenarios. Examples and case studies are considered to illustrate its application in decision-making, strategic formulation, and adaptability. The findings underscore the potential transformative impact of adopting this model in enhancing organizational resilience and success in today's dynamic business landscape.

Investigating the Effect of Strategic Planning on the Financial Performance of SMEs in Namibia

Small and Medium Enterprises (SMEs) are hypothesised to play a critical part and serve as a crucial source of income and employment creation in many economies. SMEs contribute about 12% of the Namibian Gross Domestic Product (GDP) and provide employment or income to about 160 000 Namibian citizens. Namibia has witnessed remarkable growth in the number of SMEs in recent decades, with over 28 000 formally registered SMEs. However, most SMEs in Namibia experience difficulties, some of which may threaten their existence. Numerous external and internal factors impact business performance: failure to develop strategic plans, lack of finance, poor financial management, and lack of suitable management skills. The literature argues that financial performance challenges faced by SMEs can be mitigated with a clear and well-articulated strategic plan. This study set out to investigate the effect of strategic planning on the financial performance of SMEs. The results confirm that strategic planning has a positive effect on the financial performance of SMEs. However, many SMEs indicated that they had never done strategic planning. The study also found that Issue-based strategic planning is a commonly used strategic planning model. Policy implications indicate that although strategic planning is found to enhance SMEs' financial performance, the majority of them lack an optimal mix of strategic planning elements. The study recommends using strategic planning to set clear financial performance targets and for relevant stakeholders to introduce policies that help equip SME owners/managers with the optimal mix of business management skills.