GET THE APP

Quality System Functionality Evaluation in Production Logistics
..

Industrial Engineering & Management

ISSN: 2169-0316

Open Access

Editorial - (2021) Volume 10, Issue 6

Quality System Functionality Evaluation in Production Logistics

Mahmood Reza Khabbazi*
*Correspondence: Mahmood Reza Khabbazi, Mechatronic, Department of Machine Design, KTH Royal Institute of Technology, Sweden, Email:
Mechatronic, Department of Machine Design, KTH Royal Institute of Technology, Sweden

Received: 20-Jun-2021 Published: 30-Jun-2021 , DOI: 10.37421/2169-0316.2021.10.e107
Citation: Mahmood Reza Khabbazi. "Quality System Functionality Evaluation in Production Logistics." Ind Eng Manage 10 (2020): e107.
Copyright: © 2021 Mahmood Reza Khabbazi. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Purpose: This paper addresses a comprehensive modeling and functionality evaluation of a module-based quality system in production logistics at the highest domain abstract level of business processes.

Design/methodology/approach: All domain quality business processes and quality data transactions are modeled using BPMN and UML tools and standards at the business process and data modeling. A modular web-based prototype is developed to evaluate the models addressing the quality information system functionality requirements and modularity in production logistics through data scenarios and data queries.

Findings: Using the object-oriented technique in design at the highest domain level, the proposed models are subject further development in the lower levels for the implementing case. The models are specifically able to manipulate all quality operations including remedy and control in a lot-based make-to-order production logistics system as an individual module.

Practical implications: Due to the specification of system as domain design structure, all proposed BPMs, data models, and the actual database prototype are seen referential if not a solution as a practical “to-be” quality business process re-engineering template.

Originality/value: This paper sets out to provide an explanatory approach using different practical technique at modeling steps as well as the prototype implementation.

Keywords

Business process, Data modelling, Production logistics, QIS, UML, BPMN, Data query

Google Scholar citation report
Citations: 739

Industrial Engineering & Management received 739 citations as per Google Scholar report

Industrial Engineering & Management peer review process verified at publons

Indexed In

arrow_upward arrow_upward