Integrasi Produksi - Distribusi pada Supply Chain dengan Pendekatan Hybrid Analitik - Simulasi

Authors

  • Annisa Kesy Garside Fakultas Teknologi Industri, Jurusan Teknik Industri. Universitas Muhammadiyah Malang, Jl. Dinoyo, Malang 40132
  • R. Hadi Wahyuono Fakultas Teknologi Industri, Jurusan Teknik Industri, Institut Teknologi Sepuluh Nopember Surabaya
  • Tiananda Widyarini Fakultas Teknologi Industri, Jurusan Teknik Industri, Institut Teknologi Sepuluh Nopember Surabaya

:

https://doi.org/10.9744/jti.13.1.27-36

Keywords:

Supply chain, production-distribution integration, analytical model, simulation model, stochastic.

Abstract

Integrated production-distribution problem resolution using analytical model lacks of consideration of many uncertainties along supply chain line such as delays, queues, machine breakdown, vehicle malfunction, and environmental factor. By utilizing simulation as complex stochastic system modelling, this research aims to develop hybrid analytical-simulation approach to resolve integrated production-distribution model. Time capacity adjustment is required if production-distribution plan obtained from analytical model requires longer production and delivery time than available. The adjustment is using a procedure developed based on duration obtained from simulation model and is used to obtain adjusted time capacity. The implementation of hybrid method to resolve integrated production-distribution problem on two echelon supply chain with 2 factories and 5 DCs shows a feasible solution was obtained on the third iteration

Downloads

Published

2011-06-11

How to Cite

[1]
A. K. Garside, R. H. Wahyuono, and T. Widyarini, “Integrasi Produksi - Distribusi pada Supply Chain dengan Pendekatan Hybrid Analitik - Simulasi”, Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri, vol. 13, no. 1, pp. 27-36, Jun. 2011.

Issue

Vol. 13 No. 1 (2011): JUNE 2011

Section

Articles

License

Articles published in the Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri will be Open-Access articles distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).


This work is licensed under a  Creative Commons Attribution License (CC BY).