Integrating production planning in collaborative manufacturing: Systematic literature review, and future research direction

Purpose: This article examines the relevant literature to show how integration between Collaborative Manufacturing and Production Planning can be used and benefitted in the manufacturing business. This study seeks to provide a complete picture of the present condition, research trend, and application of Collaborative Manufacturing by taking into account some production planning indicators to aid many firms implementing greater technical collaboration amongst them.Design/methodology/approach: This analysis located all currently available studies on collaborative manufacturing and production planning through a thorough examination of the literature. During the review, a series of measures were taken. The study began by determining the study's objectives, selecting acceptable keywords, and reducing the selected papers based on a variety of criteria. The final paper that met the review's criteria was subjected to a more thorough examination. A review of literature has been conducted which include 62 primary studies from Academic databases: Scopus and Sciencedirect with main focus on collaborative manufacturing and production planning.Findings: The study's three primary conclusions are as follows. An overview of the variables influencing collaborative manufacturing and production planning is presented first. The second point is the identification of a number of ideas, techniques, and mathematical modeling in collaborative manufacturing and production planning. Third, Collaborative Manufacturing and Production Planning's future research directions are given.Research limitations/implications: Future research may also take into account numerous goals, the fusion of optimization and metaheuristic techniques, and other tools to enhance the performance of the model's goal. The paper's objectives are to present a succinct review of the current situation and to pave the way for further field research.Practical implications: Collaborative manufacturing should not just concentrate on strategic aspects while managing their networks. Rather, consideration should be given to more technical factors like production planning. Future academics will use the future research direction provided in this study as a guide for how to approach joint production planning.Originality/value: Additionally, this study provides various areas for future research and serves as a guide for research to advance studies in collaborative manufacturing and production planning.

Authors

Institutions

Publication Details

Journal
Journal of Industrial Engineering and Management
Published
2025-03-05
DOI
https://doi.org/10.3926/jiem.6847
Primary Topic
Assembly Line Balancing Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating production planning in collaborative manufacturing: Systematic literature review, and future research direction

Andi Sudiarso, Muhammad Shodiq Abdul Khannan, Muhammad Kusumawan Herliansyah
Journal of Industrial Engineering and Management
Assembly Line Balancing Optimization
article

Integrating production planning in collaborative manufacturing: Systematic literature review, and future research direction

Andi Sudiarso, Muhammad Shodiq Abdul Khannan, Muhammad Kusumawan Herliansyah
article en

Abstract

Purpose: This article examines the relevant literature to show how integration between Collaborative Manufacturing and Production Planning can be used and benefitted in the manufacturing business. This study seeks to provide a complete picture of the present condition, research trend, and application of Collaborative Manufacturing by taking into account some production planning indicators to aid many firms implementing greater technical collaboration amongst them.Design/methodology/approach: This analysis located all currently available studies on collaborative manufacturing and production planning through a thorough examination of the literature. During the review, a series of measures were taken. The study began by determining the study's objectives, selecting acceptable keywords, and reducing the selected papers based on a variety of criteria. The final paper that met the review's criteria was subjected to a more thorough examination. A review of literature has been conducted which include 62 primary studies from Academic databases: Scopus and Sciencedirect with main focus on collaborative manufacturing and production planning.Findings: The study's three primary conclusions are as follows. An overview of the variables influencing collaborative manufacturing and production planning is presented first. The second point is the identification of a number of ideas, techniques, and mathematical modeling in collaborative manufacturing and production planning. Third, Collaborative Manufacturing and Production Planning's future research directions are given.Research limitations/implications: Future research may also take into account numerous goals, the fusion of optimization and metaheuristic techniques, and other tools to enhance the performance of the model's goal. The paper's objectives are to present a succinct review of the current situation and to pave the way for further field research.Practical implications: Collaborative manufacturing should not just concentrate on strategic aspects while managing their networks. Rather, consideration should be given to more technical factors like production planning. Future academics will use the future research direction provided in this study as a guide for how to approach joint production planning.Originality/value: Additionally, this study provides various areas for future research and serves as a guide for research to advance studies in collaborative manufacturing and production planning.

Journal of Industrial Engineering and ManagementVol. 18(1)
Universitas Gadjah Mada (ID), ADA University (AZ), Universitas Pembangunan Nasional Veteran Yogyakarta (ID)
Openalex Percentile: Top 95%
Assembly Line Balancing Optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.