scholarly journals A Mathematical Optimization Approach to Supply Chain Disruptions Management Considering Disruptions to Suppliers and Distribution Centers

Author(s):  
Syed Mithun Ali ◽  
Koichi Nakade
Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-25 ◽  
Author(s):  
Daniel Arturo Olivares Vera ◽  
Elias Olivares-Benitez ◽  
Eleazar Puente Rivera ◽  
Mónica López-Campos ◽  
Pablo A. Miranda

This paper develops a location-allocation model to optimize a four-echelon supply chain network, addressing manufacturing and distribution centers location, supplier selection and flow allocation for raw materials from suppliers to manufacturers, and finished products for end customers, while searching for system profit maximization. A fractional-factorial design of experiments is performed to analyze the effects of capacity, quality, delivery time, and interest rate on profit and system performance. The model is formulated as a mixed-integer linear programming problem and solved by using well-known commercial software. The usage of factorial experiments combined with mathematical optimization is a novel approach to address supply chain network design problems. The application of the proposed model to a case study shows that this combination of techniques yields satisfying results in terms of both its behavior and the obtained managerial insights. An ANOVA analysis is executed to quantify the effects of each factor and their interactions. In the analyzed case study, the transportation cost is the most relevant cost component, and the most relevant opportunity for profit improvement is found in the factor of quality. The proposed combination of methods can be adapted to different problems and industries.


2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Ruozhen Qiu ◽  
Yizhi Wang

We develop a robust optimization model for designing a three-echelon supply chain network that consists of manufacturers, distribution centers, and retailers under both demand uncertainty and supply disruptions. The market demands are assumed to be random variables with known distribution and the supply disruptions caused by some of the facilities faults or connection links interruptions are formulated by several scenarios with unknown occurrence probabilities. In particular, we assume the probabilities that the disruption scenarios happen belong to the two predefined uncertainty sets, named box and ellipsoid uncertainty sets, respectively. Through mathematical deductions, the proposed robust SCN design models can be transformed into the tractable linear program for box uncertainty and into second-order cone program for ellipsoid uncertainty. We further offer propositions with proof to show the equivalence of the transformed problems with the original ones. The applications of the proposed models together with solution approaches are investigated in a real case to design a tea supply chain network and validate their effectiveness. Numerical results obtained from model implementation and sensitivity analysis arrive at important practical insights.


2019 ◽  
Vol 28 (2) ◽  
pp. 183-189
Author(s):  
COSMIN SABO ◽  
ANDREI HORVAT MARC ◽  
PETRICA C. POP

The two-stage supply chain problem with fixed costs consists of designing a mimimum distribution cost configuration of the manufacturers, distribution centers and retailers in a distribution network, satisfying the capacity constraints of the manufacturers and distribution centers so as to meet the retailers specific demands. The aim of this work is to pinpoint some inaccuracies regarding the paper entitled ”A two-stage supply chain problem with fixed costs: An ant colony optimization approach” by Hong et al. published in International Journal of Production Economics, Vol. 204, pp. 214–226 (2018) and to propose a valid mixed integer programming based mathematical model of the problem. The comments are related to the mathematical formulation proposed by Hong et al. and the considered test instances.


2021 ◽  
Author(s):  
Niloofar Nadim Kabiri ◽  
Saeed Emami ◽  
Abdul Sattar Safaei

Abstract With the growth of multinational companies, increasing international and domestic competition between companies, upgrading information technology, and increasing customer expectations, accurate supply chain (SC) planning is essential. In such an environment, pollution has become more severe in recent decades, and with the weakening of the environment and global warming, green SC management (GSCM) strategies have become more attention in recent decades. In this research, we consider the integrated production and distribution (PD) planning problem of a multi-level green closed-loop SC (GCLSC) system, which includes multiple recycling, manufacturing/ remanufacturing, and distribution centers. We present a three-level bi-objective programming model to maximize profit and minimize the amount of greenhouse gas emissions. A hierarchical iterative approach utilizing the LP-metric method and the non-dominated sorting genetic algorithm (NSGA-II) is introduced to solve the proposed model. Also, the Taguchi approach is applied to find optimum control parameters of NSGA-II. Moreover, Monte Carlo (MC) simulation is applied to tackle uncertainty in demand, and the NSGA-II algorithm is fusioned with MC simulation (MCNSGA-II). The results obtained show that the simulation-optimization approach presented better results than the deterministic approach.


2020 ◽  
Author(s):  
Kieu Phan ◽  
Phong Ho

Abstract In the current market economic conditions, the distribution center plays an important role in the the supply chain’s operation, especially when the fruit and vegetable supply chains in Vietnam still do not have a suitable distribution center, leading to high arrival costs and slow shipping times. Therefore, researching and proposing a model to locate distribution centers, contributing to cost reduction of the fruit and vegetable supply chain is a crucial issue in Vietnam today. Therefore, using many survey methods such as in-depth interview, focus groups, face-to-face to collect a total of 439 samples in Vinh Long province, as well as secondary data from new articles, studies, research articles, other authentic sources directing the administration of provincial statistical management and yearbooks for analyzing the sweet potato supply chain in Vinh Long province of the Mekong Delta region. First, this study used mixed-integer linear programming and compromised programming based on IBM CPLEX Optimizer to choose a distribution center when trading-off between cost and transport time. Secondly, Simple Additive Weighting (SAW) for decision support based on excel software from the results of experts’ answering to increase the objectivity for determining the location of the Distribution Center as well as in accordance with both the actual situation and the comprehensive development of local socio-economy. The contribution of proposing the mathematical model is to choose a suitable place for saving costs and reducing transport times. In additon, this approach method could be applied to other Vietnamese agri-fresh products for upgrading the competitiveness, compared with other countries' agricultural products in terms of price and quality so far.


Author(s):  
Milad Baghersad ◽  
Christopher W. Zobel ◽  
Paul Benjamin Lowry ◽  
Sutirtha Chatterjee

Author(s):  
Nasrin Mohabbati-Kalejahi ◽  
Alexander Vinel

Hazardous materials (hazmat) storage and transportation pose threats to people’s safety and the environment, which creates a need for governments and local authorities to regulate such shipments. This paper proposes a novel mathematical model for what is termed the hazmat closed-loop supply chain network design problem. The model, which can be viewed as a way to combine several directions previously considered in the literature, includes two echelons in the forward direction (production and distribution centers), three echelons in the backward direction (collection, recovery, and disposal centers), and emergency response team positioning. The two objectives of minimizing the strategic, tactical, and operational costs as well as the risk exposure on road networks are considered in this model. Since the forward flow of hazmat is directly related to the reverse flow, and since hazmat accidents can occur at all stages of the lifecycle (storage, shipment, loading, and unloading, etc.), it is argued that such a unified framework is essential. A robust framework is also presented to hedge the optimization model in case of demand and return uncertainty. The performance of both models is evaluated based on a standard dataset from Albany, NY. Considering the trade-offs between cost and risk, the results demonstrate the design of efficient hazmat closed-loop supply chain networks where the risk exposure can be reduced significantly by employing the proposed models.


2021 ◽  
Author(s):  
Milad Baghersad ◽  
Christopher W. Zobel ◽  
Sutirtha Chatterjee ◽  
Paul Benjamin Lowry

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