{"title":"A sustainable production inventory model for growing items with trade credit policy under partial backlogging","authors":"S.R. Singh, Karuna Rana","doi":"10.1504/ijaom.2023.129523","DOIUrl":null,"url":null,"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.","PeriodicalId":38027,"journal":{"name":"International Journal of Advanced Operations Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Operations Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijaom.2023.129523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
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.
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