scholarly journals Scheduling and due-date quotation in a make-to-order supply chain

2008 ◽  
Vol 55 (5) ◽  
pp. 444-458 ◽  
Author(s):  
Philip Kaminsky ◽  
Onur Kaya
Keyword(s):  
Supply Chain ◽  
Due Date ◽  
Make To Order ◽  
Due Date Quotation

Due date quotation in a dual-channel supply chain

2019 ◽  
Vol 215 ◽  
pp. 102-111 ◽  
Author(s):  
Nooshin Nekoiemehr ◽  
Guoqing Zhang ◽  
Esaignani Selvarajah
Keyword(s):  
Supply Chain ◽  
Due Date ◽  
Dual Channel ◽  
Due Date Quotation ◽  
Dual Channel Supply Chain

An Order Fulfillment Model for the LED Chip Manufacturing Plant

2013 ◽  
Vol 694-697 ◽  
pp. 3446-3452 ◽  
Author(s):  
Horng Huei Wu ◽  
Ming Feng Li ◽  
Tzu Fang Hsu
Keyword(s):  
Inventory Control ◽  
Real Life ◽  
Production Model ◽  
Order Fulfillment ◽  
Due Date ◽  
Make To Order ◽  
Proposed Model ◽  
General Production ◽  
Production Strategy ◽  
Production Output

The LED chip manufacturing (LED-CM) is an important process in the LED supply chain. The make-to-order production strategy is a general production model for the LED-CM plants to satisfy the variety requirement of their customers. However, the special features of the unstable production output and a product composed of the chips of different feasible Bins exist in the LED-CM plant. The production planner will confront the issue of effective inventory control and exact due-date performance under the severely competitive pressure. Therefore an effective order fulfillment procedure for production planners is a required key issue to accomplish the inventory control and exact due-date performance. An order fulfillment model for production planner is thus proposed in this paper to meet the requirement of the LED-CM plants. A real-life LED-CM case is also utilized to demonstrate and evaluate the application and effectiveness of the proposed model.

scholarly journals ANALISA PERBANDINGAN PENJADWALAN PRODUKSI DENGAN METODE CDS (CAMPBELL DUDEK SMITH), EDD (EARLIEST DUE DATE) DAN FCFS (FIRST COME FIRST SERVE) PADA PT. SARI WARNA ASLI UNIT V

2021 ◽  
Vol 1 (2) ◽  
pp. 46-51
Author(s):  
Dwi Ayu Lestari, Vikha Indira Asri
Keyword(s):  
Production Process ◽  
Production System ◽  
Production Scheduling ◽  
Job Shop ◽  
Allocation Of Resources ◽  
Due Date ◽  
Scheduling System ◽  
Make To Order ◽  
First Come First Serve ◽  
Scheduling Method

Scheduling is defined as the process of sequencing the manufacture of a product as a whole on several machines. All industries need proper scheduling to manage the allocation of resources so that the production system can run quickly and precisely as of it can produce optimal product. PT. Sari Warna Asli Unit V is one of the companies that implements a make to order production system with the FCFS system. Thus, scheduling the production process at this company is also known as job shop production scheduling. The methods used in this research are the CDS method, the EDD method and the FCFS method. The purpose of this research is to minimize the production time and determine the best method that can be applied to the company. The results of this research showed that the makespan obtained in the company's scheduling system with FCFS rules was 458 minutes, and the results of scheduling using the CDS method obtained a makespan value of 329 minutes, then the best production scheduling method that had the smallest makespan value was the CDS method.

A Stackelberg game in multi-period planning of make-to-order production system across the supply chain

2018 ◽  
Vol 46 ◽  
pp. 231-246 ◽  
Author(s):  
Felixter Leone S. Chua ◽  
Neelesh N. Vasnani ◽  
Lance Brandon M. Pacio ◽  
Lanndon A. Ocampo
Keyword(s):  
Supply Chain ◽  
Production System ◽  
Stackelberg Game ◽  
Make To Order

Rethinking AFSA Supply Chain Strategy

2020 ◽  
pp. 447-465
Author(s):  
Miguel Angel Alvarado ◽  
Mario Chong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
South America ◽  
Customer Service ◽  
Multidimensional Approach ◽  
Supply Chain Strategy ◽  
Make To Order ◽  
Flexible Packaging ◽  
Functional Areas ◽  
Industrial Company

AFSA is an industrial company that produces flexible packaging and has more than 200 plants on five continents. It has an important presence in South America with five plants in the region. Among its main features is to supply other industries (B2B) produce under the strategy make-to-order, with local, regional, and corporate hierarchies. Its value proposition is aimed at delivering superior customer service to the market with innovative and quality products. However, due to the acquisitions that the company has made in the last two years in different countries of the region and the growth in the consumption of flexible packaging, the strategies among the different areas of the company have not been aligned, creating incompatibilities between the strategies of the functional areas like sales, operations, finance, and supply chain. This chapter proposes to optimize the supply chain of AFSA, using a strategic methodology of diagnosis and operational analysis to have a multidimensional approach that allows for decision-making.

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