The IUP Journal of Operations Management
Ranking of Performance Indicators in JIT-Based Manufacturing Systems Using TOPSIS

Article Details
Pub. Date :Nov, 2019
Product Name : The IUP Journal of Operations Management
Product Type : Article
Product Code : IJOM31911
Author Name : Mohit Tyagi and P C Tewari
Availability : YES
Subject/Domain : Management
Download Format : PDF Format
No. of Pages : 17

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Abstract

In the era of globalization, to meet the ever-changing customer demands, manufacturing flexibility, quick delivery time and high productivity along with high profitability, every industry is continuously striving for innovative and effective management techniques. Just-in-Time (JIT) is one such management technique that increases the profit of the enterprise by eliminating all kinds of wastes through continuous improvement. This paper mainly includes the ranking of performance indicators on the basis of various JIT elements for successful implementation of JIT in various industries. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used for making a deterministic quantitative model for identification and ranking of the performance indicators. In this paper, six performance indicators are mainly used. If selection of these performance indicators is not done properly, it would affect the productivity of companies adversely. The main objective is to identify and rank the performance indicators of supply chain in various industries using TOPSIS.


Description

Just-in-Time (JIT) is a Japanese production management philosophy. JIT means to produce and deliver finished goods just-in-time to be sold, subassemblies just-in-time to be assembled into finished goods, fabricate parts just-in-time to go into subassemblies, and purchase parts just-in-time to be transferred into fabricated parts. It was first developed and perfected within the Toyota manufacturing plants by Taiichi Ohno as a means of meeting consumer demands with minimum delays. Japanese Giant Toyota implemented this concept in order to reduce the wasteful overstocking in car production.


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ISBN: 978-81-314-2793-4
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