Design and optimization of a soybean supply chain network under uncertainty

Q3 Business, Management and Accounting

International Journal of Business Performance and Supply Chain Modelling Pub Date : 2020-08-19 DOI:10.1504/ijbpscm.2020.10031447

Sogand Shekarian, S. H. Amin, Bharat Shah, Babak Mohamadpour Tosarkani

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引用次数: 4

Abstract

Demands of foods have been increased in recent years for human and animal nutrition. Food supply chain management has been required to administer series of products and services in efficient ways for agriculture and food production to achieve customer satisfaction at the lowest cost. Agricultural systems have been changed during recent years, and have caused improvements in consumption and production patterns. However, there is not much research on supply chains of seeds (e.g., soybean) which have been produced in Canada. In this research, we propose a mixed-integer linear optimization formulation for a soybean supply chain network. The profit is maximized in the objective function. The mathematical formulation consists of multiple products, growers, potential farm company facilities, potential locations of distributers, and customers. Then, the mathematical model is extended by possibilistic approach to include uncertain parameters. In addition, the results are discussed and analyzed for the soybean supply chain network.

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不确定条件下大豆供应链网络的设计与优化

近年来，人类和动物对食物的营养需求不断增加。食品供应链管理要求以有效的方式管理农业和食品生产的一系列产品和服务，以最低的成本实现顾客满意。近年来，农业系统发生了变化，并导致消费和生产模式的改善。然而，对加拿大生产的种子(如大豆)供应链的研究并不多。在本研究中，我们提出了一个大豆供应链网络的混合整数线性优化公式。在目标函数中利润最大化。数学公式包括多种产品、种植者、潜在的农场公司设施、潜在的分销商地点和客户。然后，利用可能性方法对数学模型进行扩展，使其包含不确定参数。此外，本文还对大豆供应链网络进行了讨论和分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Business Performance and Supply Chain Modelling Business, Management and Accounting-Business and International Management

CiteScore

2.00

自引率

0.00%

发文量

期刊介绍： IJBPSCM covers original, high-quality and cutting-edge research on all aspects of supply chain modelling, aiming at bridging the gap between theory and practice with applications analysing the real situation to improve business performance. Topics covered include Business performance modelling, strategy Vendor/supplier selection, supplier development, purchasing management Supply chain management (SCM), green supply chain modelling Reverse logistics, closed loop/knowledge-based supply chains, 3PL/4PL Sustainable/quality based/agile/leagile/intelligent SCM Supply chain performance/optimisation/risk/decision making/support systems AI, information sharing in SCM, systems approach to SCM Coordinated/global/flexible SCM, risk mitigation strategies Stochastic supply chain games IT-enabled SCM, fuzzy modelling, data mining Supply chain network management, modelling/simulation, implementation Training/education, information security, RFID Supply chain analysis, transportation decisions, vehicle routing, bullwhip effect Logistics in disaster management Cross-country comparison.