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Synergic Effect of Reworking for Imperfect Quality Items with the Integration of Multi-Period Delay-in-Payment and Partial Backordering in Global Supply Chains
Author(s) -
Waqas Ahmed,
Muhammad Moazzam,
Biswajit Sarkar,
Saif Ur Rehman
Publication year - 2020
Publication title -
engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.376
H-Index - 45
eISSN - 2096-0026
pISSN - 2095-8099
DOI - 10.1016/j.eng.2020.07.022
Subject(s) - rework , payment , imperfect , profit (economics) , supply chain , economic order quantity , interim , inventory management , business , operations management , economic shortage , supply chain management , operations research , economics , computer science , microeconomics , marketing , finance , engineering , linguistics , philosophy , archaeology , government (linguistics) , history , embedded system
In intercontinental trade and economics goods are bought from a global supplier. On occasion, the expected lot may include a fraction of defective items. These imperfect items still have worth and can be sold to customers after repair. It is cost-effective and sustainable to rework such items in nearby repair workshops rather than return them. The reworked items can be returned from the workshop to the buyer when shortages are equal to the quantity of imperfect items. In the meantime, the supplier correspondingly deals a multi-period delay-in-payments strategy with purchaser. The established model maximizes the entire profit along with paybacks for interim financing. This study aims to develop a synergic inventory model to get the most profit by making an allowance for reworking, multi-period delay-in-payments policy, and shortages. The findings of the proposed model augment inventory management performance by monitoring cycle time as well as fraction of phase with optimistic inventory for a supply chain. The results demonstrate that profit is smaller if the permitted period given by supplier to buyer is equal to or greater than the cycle time, and profit is greater if the permitted period is smaller than the cycle time. The algebraic method is engaged to make a closed system optimum solution. The mathematical experiment of this study is constructed to provide management insights and tangible practices.

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