Title

Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing girms

Added Title

Modelling the dynamics of inventory and backlog management in servitized supply chains: The case of custom industrial manufacturing firms

College

Gokongwei College of Engineering

Department/Unit

Industrial Engineering

Document Type

Conference Proceeding

Source Title

2019 IEEE 6th International Conference on Industrial Engineering and Applications, ICIEA 2019

First Page

256

Last Page

261

Publication Date

5-14-2019

Abstract

An important challenge for managers in a servitized supply chain is to integrate the delivery of the products and services such that resources and knowledge are used effectively and efficiently. In the absence of a study that simultaneously considered the various services rendered at different stages of the product life of a servitized manufacturing firm, this study developed a system dynamics simulation model that incorporates the product and service operations of a custom industrial manufacturing firm and the response of the customers in the firm's service level to analyze the effectiveness of various service capacity and inventory strategies. From the insights generated in the results and analysis, alternative policies that target the major feedback loops were generated. The policies include incorporating manufacturing and service capacity utilization decisions, and a dynamic safety stock decision. These policies were proven to improve the overall system behavior by significantly attenuating the amplifications, phase lags, and oscillations in all subsystems of the servitized supply chain, while maintaining desirable service levels. The theoretical findings were then translated tomanagerial implications. © 2019 IEEE.

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Digitial Object Identifier (DOI)

10.1109/IEA.2019.8715229

Disciplines

Industrial Engineering | Operations Research, Systems Engineering and Industrial Engineering

Keywords

Business logistics; Manufacturing industries—Inventory control

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