Penerapan Model Personal Terintegrasi Distribusi Muatan dan Perencanaan Produksi

Authors

  • Sri Rahmayanti Universitas Asahan
  • Khairul Saleh Universitas Asahan
  • Hari Sumardi Universitas Bengkulu

DOI:

https://doi.org/10.25273/jems.v8i2.7440

Keywords:

Model Personal Terintegrasi, Distribusi Muatan, Perencanaan Produksi.

Abstract

Perencanaan distribusi produksi terpadu dalam struktur   rantai   pasokan tertentu. Model Mixed Integer Linier Programming untuk meminimalkan kendala pengambilan keputusan dalam   perencanaan   produksi   danmengirimkan   produk   tunggal  kepada   pelanggannya. Pengiriman   dilakukan    menggunakan    armada     kendaraan     yang homogen.     Pelanggan (pengecer) dikelompokkan   di suatu  wilayah sehingga jarak   antara    pengecer ini dapat diabaikan dibandingkan dengan jarak cluster dari pemasok.  Tujuannya adalah untuk meminimalkan    total   biaya yang terdiri dari produksi, persediaan, dan biaya distribusi dengan lebih dari satu pemasok.

Downloads

Download data is not yet available.

References

Adam, F. and Sammon, D. (2004). The Enterprise Resource Planning Decade: Lessons Learned and Issues for the Future. USA: Idea Group Publishing, Idea Group Inc.

Kallrath, J. (2005). Solving Planning and Design Problems in the Process In- dustry Using Mixed Integer and Global Optimization. Annals of Operations Research, Vol. 140, pp 339–373.

Mona, J., and Fitzsimmons. (2004). Service Management:Pperations, Strategy, and Information Technology. McGraw-Hill.

Newmann, K., Schwindt, C. and Trautmann, N. (2002). Advanced Production Scheduling for Batch Plants in Process Industries. OR Spektrum, Vol. 24, pp 251–279.

Or cun, S., Altinel, I. and Hortacsu, •O. (2001). General Continuous Time Models for Production Planning and Scheduling of Batch Processing Plants: Mixed Integer Linear Program Formulations and Computational Issues. Computers

& Chemical Engineering, Vol. 25, 371–389.

Osvald, A. and Stirn, L. (2008). A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food. Journal of Food Engineering, Vol. 85(2), pp 285-295.

Pujawan, I. Nyoman, Supply Chain Management. Surabaya, Penerbit Guna

Widya.

Russel, R.S. and B.W. Taylor. (2011). Operations Management: Creating Value

Along The Supply Chain, seventh edition, John Wiley&Sons.Inc.

Soman, C.A., Van Donk, D.P. and Gaalman, G.J.C. (2004a). A basic period ap- proach to the economic lot scheduling problem with shelf life considerations. Int. J. of Prod. Res. Vol. 42, pp 1677-1689.

Soman, C.A., Van Donk, D.P. and Gaalman, G.J.C. (2004b). Combined make- to-order and make-to-stock in a food production system. Int. J. of Prod. Econ., Vol. 90, pp 223–235.

Stevenson, J.W. (2009). Operation Management, eighth edition, McGraw-Hill. Yao, M. and Huang, J. (2005). Solving the economic lot scheduling problem with deteriorating items using genetic algorithms. Journal of Food Engineering, Vol. 70(3), pp 309-322.

You, E. and I. E. Grossman. (2009). Multi-echelon supply chain with invento- ry under uncertainty: MINLP models, computational strategies. AICHE Journal, Vol. 56, Issue 2, pp 419–440.

Y.Boutarfa, A. Senoussi, N. K. Mouss, N.Brahimi(2016). A Tabu Search Heuristic For an Integrated Oroduction- Distribution Problem With Clustred Retail- ers. IFAC, Vol.49-12, pp 1514-1519

Downloads

Published

2020-09-08

Issue

Section

Articles