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An inventory management for global supply chain through reworking of defective items having positive inventory level under multi-trade-credit-period

  • Waqas Ahmed
  • , Muhammad Jalees
  • , Muhammad Omair*
  • , Zainab Mukhtar
  • , Muhammad Imran
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Supply chain management is facing serious challenges in the form of imperfections, which cause quality and environmental concerns. The supplier’s manufacturing system may not produce all perfect items and some chances of receiving a lot may include a proportion of imperfect items. It is a time-consuming, negative impact on the environment, and costly activity if the buyer instantly exchanges these defective items with the supplier. These defective products are still economically valuable and can be reworkable. It is more feasible to repair or rework the products at a local repair/service store for saving cost, environment, and time. The repaired products are expected to come back to the buyer when the inventory level is positive. In addition, global purchasing brings superfluous and continuing paybacks, where there are various scenarios when the sellers and buyers are working at a long distance and they are dealing in various businesses by importing and exporting products. Therefore, the supplier also offers a sustainable method of payment to the buyer known as a multi-trade credit period. An inventory model is developed to reduce the on-hand stock, save the environment, and benefit for interim financing. The objective is to optimize the profit of the supply chain by incorporating product reparation policy with the integration of multi-trade-credit policy and shortages simultaneously. A non-derivative approach is utilized to optimize the supply chain mathematical model by deciding the ordering lot size, cycle time, and proportion of backorder demand. The model also used numerical data of the firm to support decision-makers for transforming the proposed supply chain model into real practices. The proposed model has been checked for the sensitivity of various significant supply chain management parameters.

Original languageEnglish
Pages (from-to)1-28
Number of pages28
JournalAnnals of Operations Research
Volume315
Issue number1
DOIs
StatePublished - Aug 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Imperfect products
  • Inventory management
  • Multi-trade-credit
  • Non-derivative approach
  • Rework

ASJC Scopus subject areas

  • General Decision Sciences
  • Management Science and Operations Research

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