Supply Chain Network Design in Uncertain Environment

2018 ◽  
pp. 262-282
Author(s):  
Gholam Reza Nasiri ◽  
Fariborz Jolai
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Business Processes ◽  
Dynamic Environment ◽  
Integrated Approach ◽  
Network Design Problem ◽  
Uncertainty Sources ◽  
Efficient Management ◽  
Stochastic Parameters ◽  
Adjustment Mechanisms

Dynamic environment imposes such conditions that make it necessary for companies to consider sources of uncertainty in designing core business processes and optimizing supply chain operations. Efficient management of a supply system requires an integrated approach towards various operational functions and related source of uncertainties. Uncertain conditions in supply network design problem such as market demands, delivery time, and facility capacity are considered and incorporated by many studies at the mathematical programming formulations as well. In this chapter, extensive review of existing SCND literature, brief overview and classification on uncertainty sources, useful strategies to deal uncertainties, model formulation with uncertain/stochastic parameters, efficient developed solution methodologies, and improvement adjustment mechanisms are discussed. Lastly, some directions for further research in this area are suggested.

A FUZZY PROGRAMMING APPROACH FOR SUPPLY CHAIN NETWORK DESIGN

2007 ◽  
Vol 15 (supp02) ◽  
pp. 75-87 ◽  
Author(s):  
XIAOYU JI ◽  
XIANDE ZHAO ◽  
DEMING ZHOU
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Cost Optimization ◽  
Fuzzy Programming ◽  
Network Design Problem ◽  
Programming Approach ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Environment ◽  
Stochastic Parameters

This paper presents a fuzzy programming method to design supply chain network, in which the customer demands and transportation costs are assumed to be fuzzy parameters. Existing researches on supply chain network design problem are either restricted on deterministic environment or only address stochastic parameters. In this paper, we consider this problem in fuzzy environment. Under different criteria, we format three types of models for the decision makers: expected cost optimization model, chance-constrained model and chance maximization model. A genetic algorithm based on fuzzy simulation is developed to solve the proposed fuzzy models. Moreover, some numerical examples are presented to illustrate the effectiveness of models and solution algorithm.

Solving a Two-stage Supply Chain Network Design Problem with Fixed Costs by a Hybrid Genetic Algorithm

2021 ◽  
Author(s):  
Ovidiu Cosma ◽  
Petrică C Pop ◽  
Cosmin Sabo
Keyword(s):  
Genetic Algorithm ◽  
Supply Chain ◽  
Network Design ◽  
Design Problem ◽  
Optimization Problem ◽  
Hybrid Genetic Algorithm ◽  
Network Design Problem ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fixed Costs

Abstract In this paper we investigate a particular two-stage supply chain network design problem with fixed costs. In order to solve this complex optimization problem, we propose an efficient hybrid algorithm, which was obtained by incorporating a linear programming optimization problem within the framework of a genetic algorithm. In addition, we integrated within our proposed algorithm a powerful local search procedure able to perform a fine tuning of the global search. We evaluate our proposed solution approach on a set of large size instances. The achieved computational results prove the efficiency of our hybrid genetic algorithm in providing high-quality solutions within reasonable running-times and its superiority against other existing methods from the literature.

Information Management Systems in the Supply Chain

2017 ◽  
pp. 469-485
Author(s):  
Maria José Sousa ◽  
Rui Cruz ◽  
Ivo Dias ◽  
Carla Caracol
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Value Chain ◽  
Information Exchange ◽  
Information Technologies ◽  
Business Processes ◽  
New Technologies ◽  
Integrated Approach ◽  
Raw Material ◽  
Information Management Systems

This chapter analyzes the importance of technologies as drivers for managing supply chains. The focus will be on the advantages of the use of information technologies to improve company's efficiency to be competitive and for the reduction of costs, improvement of operations, improvement of relationships with customers, suppliers and partners, shortening of delivering times, streamlining and optimization of business processes and operations. The use of new technologies contributes to improve efficiency of supply chain management: raw material suppliers, component manufacturers, finished product manufacturers, wholesalers and retailers. Technologies allow an integrated approach to planning, control and monitoring of product flows, from suppliers to end users. They aim at improve customer service at reduced overall costs, and leads to the development of important relationships with logistics providers, suppliers, and customers in order to enhance information exchange and the coordination of business activities, which are the key advantages of an integrated supply chain with the collaboration among all the participants in the value chain.

Information Management Systems in the Supply Chain

2020 ◽  
pp. 600-616
Author(s):  
Maria José Sousa ◽  
Rui Cruz ◽  
Ivo Dias ◽  
Carla Caracol
Keyword(s):  
Supply Chain ◽  
Customer Service ◽  
Value Chain ◽  
Information Exchange ◽  
Information Technologies ◽  
Business Processes ◽  
New Technologies ◽  
Integrated Approach ◽  
Raw Material ◽  
Information Management Systems

This chapter analyzes the importance of technologies as drivers for managing supply chains. The focus will be on the advantages of the use of information technologies to improve company's efficiency to be competitive and for the reduction of costs, improvement of operations, improvement of relationships with customers, suppliers and partners, shortening of delivering times, streamlining and optimization of business processes and operations. The use of new technologies contributes to improve efficiency of supply chain management: raw material suppliers, component manufacturers, finished product manufacturers, wholesalers and retailers. Technologies allow an integrated approach to planning, control and monitoring of product flows, from suppliers to end users. They aim at improve customer service at reduced overall costs, and leads to the development of important relationships with logistics providers, suppliers, and customers in order to enhance information exchange and the coordination of business activities, which are the key advantages of an integrated supply chain with the collaboration among all the participants in the value chain.

scholarly journals Determining nodal capacities for military distribution problems

2019 ◽  
Vol 3 (2) ◽  
pp. 110-130 ◽  
Author(s):  
Dave C. Longhorn ◽  
Joshua R. Muckensturm
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
The United States ◽  
Network Design Problem ◽  
Mixed Integer ◽  
Multiple Time ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Content Type ◽  
Distribution Problems

Purpose This paper aims to introduce a new mixed integer programming formulation and associated heuristic algorithm to solve the Military Nodal Capacity Problem, which is a type of supply chain network design problem that involves determining the amount of capacity expansion required at theater nodes to ensure the on-time delivery of military cargo. Design/methodology/approach Supply chain network design, mixed integer programs, heuristics and regression are used in this paper. Findings This work helps analysts at the United States Transportation Command identify what levels of throughput capacities, such as daily processing rates of trucks and railcars, are needed at theater distribution nodes to meet warfighter cargo delivery requirements. Research limitations/implications This research assumes all problem data are deterministic, and so it does not capture the variations in cargo requirements, transit times or asset payloads. Practical implications This work gives military analysts and decision makers prescriptive details about nodal capacities needed to meet demands. Prior to this work, insights for this type of problem were generated using multiple time-consuming simulations often involving trial-and-error to explore the trade space. Originality/value This work merges research of supply chain network design with military theater distribution problems to prescribe the optimal, or near-optimal, throughput capacities at theater nodes. The capacity levels must meet delivery requirements while adhering to constraints on the proportion of cargo transported by mode and the expected payloads for assets.

Physarum solver: a bio-inspired method for sustainable supply chain network design problem

2017 ◽  
Vol 254 (1-2) ◽  
pp. 533-552 ◽  
Author(s):  
Xiaoge Zhang ◽  
Andrew Adamatzky ◽  
Felix T. S. Chan ◽  
Sankaran Mahadevan ◽  
Yong Deng
Keyword(s):  
Supply Chain ◽  
Network Design ◽  
Design Problem ◽  
Network Design Problem ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Sustainable Supply Chain
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