A multi-objective approach to design strategic supply chains and develop responsiveness- efficiency frontiers

2018 ◽  
Vol 29 (1) ◽  
pp. 365-386 ◽  
Author(s):  
Raed AlHusain ◽  
Reza Khorramshahgol
Keyword(s):  
Supply Chain ◽  
Integer Programming ◽  
Programming Model ◽  
Efficient Frontier ◽  
Decision Makers ◽  
Binary Integer Programming ◽  
Content Type ◽  
Strategic Fit ◽  
Cost Efficient ◽  
Alternative Solutions

Purpose The purpose of this paper is twofold. Initially, a multi-objective binary integer programming model is proposed for designing an appropriate supply chain that takes into consideration both responsiveness and efficiency. Then, a responsiveness-cost efficient frontier is generated for the supply chain design that can help organizations find the right balance between responsiveness and efficiency, and hence achieve a strategic fit between organizational strategy and supply chain capabilities. Design/methodology/approach The proposed SC design model used both cross-functional and logistical SC drivers to build a binary integer programming model. To this end, various alternative solutions that correspond to different SC design portfolios were generated and a responsiveness-cost efficient frontier was constructed. Findings Various alternative solutions that correspond to different SC designs were generated and a responsiveness-cost efficient frontier was constructed to help the decision makers to design SC portfolios to achieve a strategic fit between organizational strategy and SC capabilities. Practical implications The proposed methodology enables the decision makers to incorporate both qualitative and quantitative judgements in SC design. The methodology is easy to use and it can be readily implemented by a software. Originality/value The proposed methodology allows for subjective value judgements of the decision makers to be considered in SC design and the efficiency-responsiveness frontier generated by the methodology provides a trade-off to be used when choosing between speed and cost efficiency in SC design.

A framework of hiring strategy for manpower hiring in a hyper-local food delivery organization

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Debadyuti Das ◽  
Chirag Yadav
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Local Food ◽  
Service Level ◽  
Food Delivery ◽  
Optimum Number ◽  
Content Type ◽  
Integer Programming Model ◽  
Cost Efficient ◽  
The Cost

PurposeThe present work attempts to determine an appropriate number of different categories of Delivery Persons for a Hyper-local Food Delivery Organization for different intervals within a day and across days within a week which would provide a satisfactory level of service to the target customers and at the same time would become cost-efficient.Design/methodology/approachCurrently the firm estimates the required number of Delivery Persons for “lunch peak” and “dinner peak” of the next week's weekdays and weekend based on the maximum number of orders occurring during the same period of both weekdays and weekend in the current week. The proposed approach involves determining the projected demand in every four-hourly interval of both week-days and weekend in the next week. Subsequently, the study has developed a simple integer programming model for determining the optimum number of Delivery Persons based on the projected demand data.FindingsThe existing approach followed by the firm indicates that the Delivery Persons remain unutilized during periods of low demand. The proposed model demonstrated savings to the tune of 21.4% in manpower cost without any erosion in the service level.Originality/valueThe study has made three tangible contributions. First, the development of a simple methodology for estimating the demand of next period allows the Managers to utilize dynamic demand data. Second, the development of a simple integer programming model helps managers determine an appropriate number of Delivery Persons in different intervals in both weekdays and weekend. Third, the development of a framework of hiring strategy aids managers in adopting a particular hiring strategy under a particular context keeping in mind the magnitude of demand for food, demand for delivery service and the cost of providing the service.

A supply chain model for Medicare of impoverished people with the policy of targeted poverty alleviation of China

Kybernetes ◽  
2019 ◽  
Vol 49 (3) ◽  
pp. 896-915
Author(s):  
Ketong Zhao ◽  
Bingzhen Sun
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Integer Programming ◽  
Theoretical Model ◽  
Poverty Alleviation ◽  
Practical Problem ◽  
Programming Model ◽  
Medical Insurance ◽  
Optimal Decision ◽  
Content Type

Purpose The purpose of this paper is to present a new method and model for constructing a new decision-making paradigm of Medicare, which can not only satisfy the needs of the sick people but also reduce the possibility of people slipping back to poverty due to diseases under the policy of Targeted Poverty Alleviation (TPA) of China. Design/methodology/approach This paper uses the traditional supply chain theory to analyze the Medicare of impoverished people with the policy of TPA of China and transforms it into a multi-layer supply chain optimization decision-making problem. First, a nonlinear integer programming model for poor people’s Medicare decision with opportunity constraints is constructed. To facilitate the solution of the optimal decision scheme, the abovementioned model is transformed into a linear integer programming model with opportunity constraints by using the Newsvendor model for reference. Meanwhile, the scope of the inventory model is discussed, for it can be combined with the construction of the medical insurance system better. Second, the theoretical model is applied to the practical problem. Finally, based on the results of the theoretical model applying the practical problem, we give further improvement and modification of the theoretical model applies it to the actual situation further. Findings This paper presents a theoretical model about determine the optimal the inventory, under the framework of traditional supply chain decision-making, for it can be combined with the construction of the medical insurance system better. The theoretical model is applied to the practical problem of the fight against poverty in XX County, China. By using the actual data and MATLAB, optimal decision scheme is obtained. Originality/value There are two aspects of value. On the one hand, this paper provides a new way to construct a Medicare system of impoverished people with TPA of China. On the other hand, this paper tries making a new way to handle the storage of medicines and related medical devices at basic standard clinics decision-making problems based on above mentioned Medicare system.

scholarly journals A framework for optimizing sustainment logistics for a US Army infantry brigade combat team

2020 ◽  
Vol 4 (2) ◽  
pp. 147-165
Author(s):  
Daniel Reich ◽  
Ira Lewis ◽  
Austin J. Winkler ◽  
Benjamin Leichty ◽  
Lauren B. Bobzin
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Daily Basis ◽  
Decision Makers ◽  
Simulation Framework ◽  
Content Type ◽  
Us Army ◽  
Entire Duration ◽  
Vehicle Fleet ◽  
Risk Curves

Purpose The purpose of this paper is to help optimize sustainment logistics for US Army brigade combat teams, which may face challenges in transporting their assigned assets. Design/methodology/approach This paper develops a simulation framework with an integrated integer programming optimization model. The integer-programming model optimizes sustainment outcomes of supported battalions on a daily basis, whereas the simulation framework analyzes risk associated with shortfalls that may arise over the entire duration of a conflict. Findings This work presents a scenario reflecting the steady resupply of an infantry brigade combat team during combat operations and presents an in-depth risk analysis for possible fleet compositions. Originality/value The risk curves obtained allow decision-makers and commanders to optimize vehicle fleet design in advance of a conflict.

scholarly journals Green closed-loop supply chain network design considering cost control and CO2 emission

2020 ◽  
Vol 2 (1) ◽  
pp. 42-59 ◽  
Author(s):  
Lufei Huang ◽  
Liwen Murong ◽  
Wencheng Wang
Keyword(s):  
Supply Chain ◽  
Integer Programming ◽  
Mixed Integer Programming ◽  
Cost Reduction ◽  
Cost Control ◽  
Programming Model ◽  
Mixed Integer ◽  
Operational Cost ◽  
Content Type ◽  
Epsilon Method

PurposeEnvironmental issues have become an important concern in modern supply chain management. The structure of closed-loop supply chain (CLSC) networks, which considers both forward and reverse logistics, can greatly improve the utilization of materials and enhance the performance of the supply chain in coping with environmental impacts and cost control.Design/methodology/approachA biobjective mixed-integer programming model is developed to achieve the balance between environmental impact control and operational cost reduction. Various factors regarding the capacity level and the environmental level of facilities are incorporated in this study. The scenario-based method and the Epsilon method are employed to solve the stochastic programming model under uncertain demand.FindingsThe proposed stochastic mixed-integer programming (MIP) model is an effective way of formulating and solving the CLSC network design problem. The reliability and precision of the Epsilon method are verified based on the numerical experiments. Conversion efficiency calculation can achieve the trade-off between cost control and CO2 emissions. Managers should pay more attention to activities about facility operation. These nodes might be the main factors of costs and environmental impacts in the CLSC network. Both costs and CO2 emissions are influenced by return rate especially costs. Managers should be discreet in coping with cost control for CO2 emissions barely affected by return rate. It is advisable to convert the double target into a single target by the idea of “Efficiency of CO2 Emissions Control Reduction.” It can provide managers with a way to double-target conversion.Originality/valueWe proposed a biobjective optimization problem in the CLSC network considering environmental impact control and operational cost reduction. The scenario-based method and the Epsilon method are employed to solve the mixed-integer programming model under uncertain demand.

scholarly journals Reshuffle minimisation to improve storage yard operations efficiency

2021 ◽  
Vol 15 ◽  
pp. 174830262199401
Author(s):  
Hammed Bisira ◽  
Abdellah Salhi
Keyword(s):  
Integer Programming ◽  
Programming Model ◽  
Heuristic Approach ◽  
Container Terminals ◽  
Exact Method ◽  
Computational Results ◽  
Binary Integer Programming ◽  
Integer Programming Model ◽  
Compatibility Test ◽  
Storage Area

There are many ways to measure the efficiency of the storage area management in container terminals. These include minimising the need for container reshuffle especially at the yard level. In this paper, we consider the container reshuffle problem for stacking and retrieving containers. The problem was represented as a binary integer programming model and solved exactly. However, the exact method was not able to return results for large instances. We therefore considered a heuristic approach. A number of heuristics were implemented and compared on static and dynamic reshuffle problems including four new heuristics introduced here. Since heuristics are known to be instance dependent, we proposed a compatibility test to evaluate how well they work when combined to solve a reshuffle problem. Computational results of our methods on realistic instances are reported to be competitive and satisfactory.

Supply chain practices and organizational performance

2017 ◽  
Vol 28 (1) ◽  
pp. 75-101 ◽  
Author(s):  
Shrikant Gorane ◽  
Ravi Kant
Keyword(s):  
Supply Chain ◽  
Customer Satisfaction ◽  
Financial Performance ◽  
Organizational Performance ◽  
Customer Value ◽  
Structural Equation ◽  
Decision Makers ◽  
Current Status ◽  
Content Type ◽  
Manufacturing Organizations

Purpose The purpose of this paper is to empirically test a framework which identifies the relationships between various supply chain practices (SCPs) and organizational performance (operational performance (OP), customer satisfaction, and financial performance) in the context of Indian manufacturing organizations. Design/methodology/approach From the literature, ten SCPs are selected which finally influences the organizational performance. In order to understand the interactions between SCPs and organizational performance, this paper grouped the ten SCPs into four constructs namely: information and communication technology, supply chain (SC) integration, operational responsiveness, and closed loop green practices. Three levels of firm performance are also examined, including OP, customer satisfaction, and financial performance. The paper-based and web-based survey yielded 292 responses from the Indian manufacturing organizations. The data collected were put through rigorous statistical analysis to test for the content, construct, and criterion-related validity, as well as reliability analyses. Further a structural equation model was developed to test the relationships between SCPs and organizational performance. Findings The finding suggests that a successful SCPs implementation not only improves the OP, but also enhances customer satisfaction and financial performance. In addition, higher financial performance is also attributable to better customer value resulting from the achievement of better customer satisfaction. Research limitations/implications SCPs are complex constructs. While this study shows the effect of broadly accepted SCPs on organizational performance, not all possible practices are covered in this study. Again the study can be further extended to sector specific so that the results can be further refined. Practical implications This is one of the few studies which attempts to investigate whether there is any relationship exits between SCPs and organizational performance. The finding will help decision makers in the organization to know the importance of SCPs and how SCPs influence the organizational performance. Second, this study has developed and validated a multi-dimensional construct of SCPs, which can assist decision makers of Indian organizations to evaluate the competence of their current status of SCPs in the organization. Originality/value As per the knowledge of the authors, this is the first kind of study which empirically investigated the relationships between SCPs and organizational performance in the context of Indian manufacturing organizations.

Blinded by the light? Analyzing sustainability authenticity, customer service perceptions, and halo effects

2019 ◽  
Vol 30 (1) ◽  
pp. 117-139 ◽  
Author(s):  
Clinton Amos ◽  
Sebastian Brockhaus ◽  
Amydee M. Fawcett ◽  
Stanley E. Fawcett ◽  
A. Michael Knemeyer
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Design Methodology ◽  
Corporate Sustainability ◽  
A Priori ◽  
Decision Makers ◽  
Behavioral Experiments ◽  
Content Type ◽  
Sustainability Initiatives ◽  
Practical Implications

PurposeThe purpose of this paper is to evaluate how service perceptions influence customer views of the authenticity of corporate sustainability claims. The goal of this paper is to help supply chain decision-makers better understand boundary conditions in order to design more enduring and impactful sustainability programs.Design/methodology/approachThe authors employ behavioral experiments, subjecting two theoretically derived hypotheses to verification across five diverse industries and two distinct sustainability vignettes.FindingsCustomer service perceptions emerge as a significant boundary condition to the perceived authenticity of sustainability efforts. Subjects attributed significantly higher authenticity toward sustainability efforts in above average vs below average service quality contexts. Further, respondents attributed deceptive motivations to sustainability efforts at companies with below average service.Research limitations/implicationsThe authors confirm the underlying tenet of social judgment theory, which suggests thata prioriperceptions create a zone of acceptability or rejection. Ultimately, investing in sustainability can lead to counterproductive cynicism.Practical implicationsThe authors infer that customers’ willingness to give companies credit for sustainability initiatives extends beyond service issues to any practice that influencesa prioriperceptions. Supply chain managers must rethink their role in designing both customer service and sustainability systems to achieve positive returns from sustainability investments.Originality/valueThe authors challenge the assumption that customers universally positively view sustainability efforts. If customers holda priorinegative service perceptions, otherwise well-designed sustainability programs may invoke cynical reactions. Thus, sustainability programs may not inoculate firm reputations from adverse incidents. Given they touch both service and sustainability systems, supply chain managers are positioned to holistically influence their design for competitive advantage.

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