scholarly journals Integrating production scheduling and transportation procurement through combinatorial auctions

Networks ◽  
2020 ◽  
Vol 76 (2) ◽  
pp. 147-163 ◽  
Author(s):  
Chefi Triki ◽  
Sujan Piya ◽  
Liang‐Liang Fu
Keyword(s):  
Production Scheduling ◽  
Combinatorial Auctions ◽  
Transportation Procurement

scholarly journals Multiobjective Combinatorial Auctions in Transportation Procurement

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Joshua Ignatius ◽  
Seyyed-Mahdi Hosseini-Motlagh ◽  
Mark Goh ◽  
Mohammad Mehdi Sepehri ◽  
Adli Mustafa ◽  
...  
Keyword(s):  
Cost Savings ◽  
Combinatorial Auctions ◽  
Combinatorial Auction ◽  
Optimization Models ◽  
Multi Objective Optimization ◽  
Winner Determination ◽  
Objective Model ◽  
The Cost ◽  
Transportation Procurement ◽  
Preemptive Goal Programming

This paper presents a multiobjective winner determination combinatorial auction mechanism for transportation carriers to present multiple transport lanes and bundle the lanes as packet bids to the shippers for the purposes of ocean freight. This then allows the carriers to maximize their network of resources and pass some of the cost savings onto the shipper. Specifically, we formulate three multi-objective optimization models (weighted objective model, preemptive goal programming, and compromise programming) under three criteria of cost, marketplace fairness, and the marketplace confidence in determining the winning packages. We develop solutions on the three models and perform a sensitivity analysis to show the options the shipper can use depending on the existing conditions at the point of awarding the transport lanes.

Penjadwalan Produksi Menggunakan Metode Simulated Annealing pada Unit Produksi Daun Pintu di PT. ML

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Rosnani Ginting ◽  
Chairul Rahmadsyah Manik
Keyword(s):  
Simulated Annealing ◽  
Problem Solving ◽  
Production Scheduling ◽  
Production Control ◽  
Delivery Time ◽  
Production Schedule ◽  
A Company ◽  
Predetermined Time ◽  
Factory Floor

Penjadwalan merupakan aspek yang sangat penting karena didalamnya terdapat elemen perencanaan dan pengendalian produksi bagi suatu perusahaan yang dapat mengirim barang sesuai dengan waktu yang telah ditentukan, untuk memperoleh waktu total penyelesaian yang minimum. Masalah utama yang dihadapi oleh PT. ML adalah keterlambatan penyelesaian order yang mempengaruhi delivery time ke tangan costumer karena pelaksanaan penjadwalan produksi dilantai pabrik belum menghasilkan makespan yang sesuai dengan order yang ada. Oleh kaena itu dituntut untuk mencari solusi pemecahan masalah optimal dalam penentuan jadwal produksi untuk meminimisasi total waktu penyelessaian (makespan) semua order. Dalam penelitian ini, penjadwalan menggunakan metode Simulated Annealing (SA) diharapkan dapat menghasilkan waktu total penyelesaian lebih cepat dari penjadwalan yang ada pada perusahaan.   Scheduling is a very important aspect because in it there are elements of planning and production control for a company that can send goods in accordance with a predetermined time, to obtain a minimum total time of completion. The main problem faced by PT. ML is the delay in completing orders that affect delivery time to customer because the implementation of production scheduling on the factory floor has not produced the makespan that matches the existing order. Therefore, it is required to find optimal problem solving solutions in determining the production schedule to minimize the total time of elimination (makespan) of all orders. In this study, scheduling using the Simulated Annealing (SA) method is expected to produce a total time of completion faster than the existing scheduling in the company.

Refinery production scheduling toward Industry 4.0

2018 ◽  
Vol 0 (0) ◽  
pp. 0 ◽  
Author(s):  
Marcel JOLY ◽  
Darci ODLOAK ◽  
MarioY. MIYAKE ◽  
Brenno C. MENEZES ◽  
Jeffrey D. KELLY
Keyword(s):  
Production Scheduling ◽  
Industry 4.0 ◽  
Refinery Production
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