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All Journal Jurnal Teknik Industri Matrik : Jurnal Manajemen dan Teknik Industri Produksi
ERWIN WIDODO
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

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Penetapan Harga Berbasis Penerimaan Konsumen di Dual-Channel Supply Chain Erwin Widodo
Jurnal Teknik Industri Vol. 15 No. 1 (2014): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol15.No1.1-8

Abstract

Dual-Channel Supply Chain (DCSC) is a mixed structure which simultaneously utilizes both offline and online channel to distribute one particular product or service. This structure provides market reach extension in which eventually leads to revenue increase. Whatsoever, aside of this advantage, DCSC also brings some challenging problems. One prominent problem is of about between-channel pricing-problem. In its practice, DCSC actors often apply intuitive offline and online pricing without further analytical evaluation. Yet there is no representative mechanism to address this critical problem. This paper attempts to resolute this challenge by proposing a qualitative estimation mechanism on customer acceptance on online channel relative to offline one. This proposed approach is about to utilize an interplay relationship between offline and online prices. The main parameter to consider is a ratio of customer acceptance parameters. These parameters are elicited from 3 groups of products which are sold under DCSC structure in Indonesian cases to exhibit the different properties in each product group. Numerical experiment result shows that the utilization of this pricing mechanism may increase the financial performance of DCSC under observation.
Lightweight Approach Of Xml Implementation As Industrial Standard For Information Sharing Erwin Widodo
Jurnal Teknik Industri Vol. 8 No. 2 (2007): Agustus
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol8.No2.117-125

Abstract

Information sharing in supply chain has emerged as one critical factor in maintaining company's responssiveness. This ability is needed to overcome both the supplier and customer requirements in sharing their data to accomplish their operational routines. A lot of efforts have been devoted in such research area including XML (eXtensible Markup Language) technology. However, a stepwise approach on how to utilize this advance technology is still lacking. This paper proposed a lightweight approach to implement XML in information sharing firmly. The main XML characteristics will be exploited so that the advantages of utilizing this mark up language may be highlighted. Based on these important remarks a lightweight approach of implementing XML is possible to be composed. The expected outcome is a step-by-step guidance for data exchanger to utilize XML simply but precisely and accurately. A case study of information sharing in commerce is elaborated to enhance our understanding on how to implement this approach in real domain problem.
Analisis Performansi Algoritma Grey Wolf Optimizer dan Algoritma Genetika untuk Model Persediaan Multi Supplier Multi Buyer dengan Pertimbangan Biaya Transportasi Sri kurnia dwi budi maulana; Erwin Widodo; Ibnu Hisyam
Matrik : Jurnal Manajemen dan Teknik Industri Produksi Vol 23 No 2 (2023)
Publisher : Prodi Teknik Industri Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/matrik.v23i2.5282

Abstract

Pengendalian persediaan terintegrasi perlu dilakukan banyak pertimbangan terkait batasan yang ada untuk menemukan nilai optimal. Hal ini merupakan hal yang tidak mudah bila dilakukan perhitungan secara manual. Dengan adanya algoritma metaheuristik sebagai alat optimasi, dapat membantu untuk menemukan keputusan optimal. Model persediaan yang digunakan adalah Multi-Supplier Multi-Buyer (MSMB), dimana fungsi objektifnya adalah untuk memaksimasi Joint Total Profit (JTP). Biaya transportasi untuk pengiriman bahan baku dari supplier dan produk jadi ke buyer dipertimbangkan secara eksplisit ke dalam model. Penelitian ini mengusulkan Algoritma Grey Wolf Optimizer (GWO) dan Algoritma Genetika (GA) yang diklaim pada penelitian lain terkait optimasi persediaan dapat memberikan performa yang baik. Analisis dalam penelitian ini menggunakan studi kasus pada perusahaan skala mikro yang disertai analisis sensitivitas dan perbandingan hasil optimasi antar algoritma. Hasil penelitian ini menunjukkan bahwa biaya transportasi memiliki pengaruh besar terhadap Joint Total Profit (JTP), dan GWO memiliki performansi yang lebih baik dibandingkan GA dalam mengoptimasi model persediaan MSMB.
Co-Authors Ibnu Hisyam Sri kurnia dwi budi maulana