To read this content please select one of the options below:

Supply chain management and market responsiveness: a simulation study

Abdulqadir Rahomee Ahmed Aljanabi (Department of Public Relations and Marketing, Sulaimani Polytechnic University, Sulaymaniyah, Iraq)
Karzan Mahdi Ghafour (Department of Marketing Management, University of Sulaimani, Sulaymaniyah, Iraq)

Journal of Business & Industrial Marketing

ISSN: 0885-8624

Article publication date: 2 July 2020

Issue publication date: 12 January 2021

691

Abstract

Purpose

This study aims to provide a practical solution to the relationship between supply chain (SC) integration and market responsiveness (MR). A method is proposed to integrate SC and MR parameters, namely, product supply and demand in the context of low-value commodities (e.g. cement).

Design/methodology/approach

Simulation and forecasting approaches are adopted to develop a potential procedure for addressing demand during lead time. To establish inventory measurements (safety stock and reorder level) and increase MR and the satisfaction of customer’s needs, this study considers a downstream SC including manufacturers, depots and central distribution centers that satisfies an unbounded number of customers, which, in turn, transport the cement from the industrialist.

Findings

The demand during lead time is shown to follow a gamma distribution, a rare probability distribution that has not been considered in previous studies. Moreover, inventory measurements, such as the safety stock, depending on the safety factor under a certain service level (SL), which enables the SC to handle different responsiveness levels in accordance with customer requests. In addition, the quantities of the safety stock and reorder point represent an optimal value at each position to avoid over- or understocking. The role of SC characteristics in MR has largely been ignored in existing research.

Originality/value

This study applies SC flexibility analyzes to overcome the obstacles of analytical methods, especially when the production process involves probabilistic variables such as product availability and demand. The use of an efficient method for analyzing the forecasting results is an unprecedented idea that is proven efficacious in investigating non-dominated solutions. This approach provides near-optimal solutions to the trade-off between different levels of demand and the SC responsiveness (SLs) with minimal experimentation times.

Keywords

Acknowledgements

The authors received no financial support for the research, authorship, and/or publication of this article.

Citation

Aljanabi, A.R.A. and Ghafour, K.M. (2021), "Supply chain management and market responsiveness: a simulation study", Journal of Business & Industrial Marketing, Vol. 36 No. 1, pp. 150-163. https://doi.org/10.1108/JBIM-12-2019-0514

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

Related articles