Waste simplification for warehouse using Boolean logic

Sarifudin, M. S. and Mansor, M. A. and Safiei, W. (2019) Waste simplification for warehouse using Boolean logic. International Journal of Engineering Technology And Sciences (IJETS), 5 (1). pp. 44-52. ISSN 2289-697X. (Published)

[img]
Preview
Pdf (Open access)
Waste simplification for warehouse using boolean logic.pdf

Download (800kB) | Preview

Abstract

Warehouse accumulates non-value added or wastes activities consist of inventory, waiting and transportation. The warehouse is a must to prevent any unforeseen events causing failures to implement the Just-In-Time concept. However, the existence of the warehouse will increase the operation expenditure and can lead to the profit losses. Therefore, the manufacturer needs to identify and eliminate the wastes to reduce the consumption of the resources and keep minimum requirement of the activities such as inventory, waiting and transportation in the warehouse. Value Stream Mapping is one of the Lean tools as an approach to eliminate the non-value added or wastes. This tool visualizes the information and material flow of the manufacturing activities. The development of a model based from Value Stream Mapping determined the current state of the wastes existed in the warehouse activities. The model is used to identify and eliminate the waste in the warehouse. From the information flow, the optimum combination of the wastes was determined through Boolean concept. The wastes are simplified and combined by passing through the Boolean operators consist of AND Gate and OR Gate. The expected outcome of this paper is to propose a conceptual model of new value stream mapping to identify and eliminate the waste in the warehouse. From the removal of wastes, the profit can be increased by reduction of the operation expenditure of the manufacturer.

Item Type: Article
Additional Information: Indexed by scopus
Uncontrolled Keywords: Warehouse; Waste; Lean manufacturing; Value stream mapping; Boolean
Subjects: T Technology > TS Manufactures
Faculty/Division: Faculty of Engineering Technology
Institute of Postgraduate Studies
Depositing User: Mrs Norsaini Abdul Samat
Date Deposited: 22 Feb 2022 01:02
Last Modified: 22 Feb 2022 01:02
URI: http://umpir.ump.edu.my/id/eprint/33426
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item