Production Scheduling Approaches for Operations Management

Due-window assignment and production scheduling problems are important issues in operations management. In this paper, the problems of common due-window assignment and scheduling of job-dependent deteriorating jobs and multiple deteriorating maintenance activities simultaneously on a single-machine are investigated. We assume that the machine may be subjected to several maintenance activities during the planning horizon. However, due to the restriction of budget of maintenance, the upper bound of the maintenance frequency on the machine is assumed to be known in advance. Moreover, we assume that the duration of each maintenance activity depends on the running time of the machine. Polynomial time algorithms for the all the studied problems are provided, where the objective is to simultaneously minimize the earliness, tardiness, due-window starting time, and due-window size costs.

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Efficiency of Green Supply Chain in the presence of non-discretionary and undesirable factors, using Data Envelopment Analysis

Business Informatics ◽

10.17323/2587-814x.2021.3.78.96 ◽

2021 ◽

Vol 15 (3) ◽

pp. 78-96

Author(s):

Mehdi Shoja ◽

Farhad Hosseinzadeh Lotfi ◽

Amir Gholam Abri ◽

Alireza Rashidi Komijan

Keyword(s):

Supply Chain ◽

Customer Service ◽

Operations Management ◽

Production Scheduling ◽

Service Sector ◽

Raw Materials ◽

Stock Exchange ◽

Supply And Demand ◽

Dual Model ◽

Network Dea

A new approach that has dominated the production operations management field in recent years is supply chain management. A supply chain includes all the facilities, tasks and activities involved in manufacturing a product from suppliers to customers. Its various elements are planning, supply and demand management, procurement of raw materials, production scheduling, distribution and delivery of products to the customer. Special structures in the supply chain have been less studied in previous research. In this paper, the supply chain and its performance evaluation are examined in the presence of non-discretionary, undesirable and negative data. For this purpose, another model of the network DEA is presented which evaluates performance of the chain in the presence of non-discretionary inputs and outputs, undesirable outputs and negative outputs even in its internal structure. The efficiency of the chain stages is also calculated using a dual model. Subsequently, 42 cement companies listed on the Tehran stock exchange were evaluated, each of which has a chain of four stages including suppliers, manufacturers, distributors and customers. Based on the implementation of the model, six companies were found to be efficient and the rest were introduced as inefficient. Moreover, 25 cement companies in the Supplier sector, 18 companies in the manufacturing sector, seven companies in the distribution sector and finally 17 companies in the customer service sector were found to be efficient.

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Exploring a Mulitcriteria Approach to Production Scheduling

Journal of the Operational Research Society ◽

10.1057/palgrave.jors.0470114 ◽

1996 ◽

Vol 47 (1) ◽

pp. 162-174

Author(s):

Valerie Belton ◽

Mark D Elder

Keyword(s):

Production Scheduling

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

Talenta Conference Series Energy and Engineering (EE) ◽

10.32734/ee.v2i2.445 ◽

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.

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