A sustainable production inventory model for growing items with trade credit policy under partial backlogging

Q2 Business, Management and Accounting International Journal of Advanced Operations Management Pub Date : 2023-01-01 DOI:10.1504/ijaom.2023.129523
S.R. Singh, Karuna Rana
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引用次数: 1

Abstract

Most countries rely on the growth of commodity industries to sustain their economies. The growing commodity industries produce livestock such as sheep, pigs, chickens, and fish. The purpose of this paper is to develop a mathematical model for growing items with linear demand and deteriorating items. Most of the inventory models are considered with constant rate of deterioration. The paper explores deterioration rates changing with time and partially backlog shortages allowed. Furthermore, it is assumed that live newborn items are fed until their weight has grown to a customer-preferred level during breeding periods. Afterward, they are slaughtered and turned into deteriorating products susceptible to customer demand during consumption. This model is optimised by devising an analytical solution procedure to determine the appropriate purchasing quantity of the newborn animals and the breeding period. Numerical examples are provided, for a type of poultry, to illustrate the model. To study how model parameters affect the result of the objective function and decision variables, we do a sensitivity analysis.
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部分积压条件下具有贸易信贷政策的增长品可持续生产库存模型
大多数国家依靠商品工业的增长来维持其经济。不断发展的商品工业生产牲畜,如羊、猪、鸡和鱼。本文的目的是建立具有线性需求的增长项目和退化项目的数学模型。大多数库存模型考虑的是恒定的劣化率。本文探讨了劣化率随时间的变化以及允许的部分积压短缺。此外,假设在繁殖期间,喂养活的新生动物直到它们的体重增长到顾客喜欢的水平。之后,它们被屠宰,变成变质的产品,在消费过程中容易受到顾客需求的影响。该模型通过设计一个分析解决程序来优化,以确定适当的新生动物购买数量和繁殖期。为说明该模型,给出了一种家禽的数值实例。为了研究模型参数如何影响目标函数和决策变量的结果,我们进行了灵敏度分析。
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 Advanced Operations Management
International Journal of Advanced Operations Management Decision Sciences-Management Science and Operations Research
CiteScore
2.20
自引率
0.00%
发文量
18
期刊介绍: In today''s complex, global economy, the operations function is critical to business success. All organisations have an operations function that helps them run efficiently and productively. IJAOM is a peer reviewed international journal which publishes original, high-quality and cutting-edge research on all aspects of advanced operations management, aiming at bridging the gap between theory and practice with applications analysing the real situation. Topics covered include -Global operations management, lean/agile operations -Knowledge, service, demand and R&D management -Scheduling, sequencing, vehicle routing -Inventory management and co-ordination -Multi-objective optimisation; TQM and six sigma practices -Business process outsourcing -Aggregate planning, ERP, JIT -Performance measurement -Cultural, environmental and implementation issues -Logistics service performance, supply chain management -Product planning, lot sizing, MPS, MRP -Repetitive manufacturing and service operations -Project and technology management, network management -Modelling and simulation, decision analysis/making -Comparison of operations management in different countries
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