A Priority-Driven Finite Capacity Planning System with Enhanced Shifting Bottleneck Algorithm

2006 ◽  
Author(s):  
Tian-xiang Cai ◽  
Tay-jin Chua ◽  
Feng-yu Wang ◽  
Wen-jing Yan ◽  
Xiao-feng Yin
Keyword(s):  
Capacity Planning ◽  
Planning System ◽  
Finite Capacity ◽  
Shifting Bottleneck ◽  
A Priority

scholarly journals Using ontology merging for the integration of information systems and the production capacity planning system

2019 ◽  
pp. 401-408
Author(s):  
N Yarushkina ◽  
A Romanov ◽  
A Filippov ◽  
A Dolganovskaya ◽  
M Grigoricheva
Keyword(s):  
Information System ◽  
Information Systems ◽  
Relational Database ◽  
Data Model ◽  
Capacity Planning ◽  
Production Capacity ◽  
Semantic Integration ◽  
Data Sources ◽  
Planning System ◽  
Ontology Merging

This article describes the method of integrating information systems of an aircraft factory with the production capacity planning system based on the ontology merging. The ontological representation is formed for each relational database (RDB) of integrated information systems. The ontological representation is formed in the process of analyzing the structure of the relational database of the information system (IS). Based on the ontological representations merging the integrating data model is formed. The integrating data model is a mechanism for semantic integration of data sources.

Real world finite capacity planning: a partial enumeration – based optimizer

2009 ◽  
Vol 42 (4) ◽  
pp. 2023-2028
Author(s):  
Ennio Bianco ◽  
Marco A. Boschetti ◽  
Vittorio Maniezzo ◽  
Aristide Mingozzi
Keyword(s):  
Real World ◽  
Capacity Planning ◽  
Finite Capacity ◽  
Partial Enumeration

A Review on Strategic Positioning of Bottleneck around the Customer Order Decoupling Point and Issues on Production Planning in Supply Chain

2016 ◽  
Vol 16 (4) ◽  
pp. 243-254
Author(s):  
Muhammad Saeed ◽  
Samiya Loya ◽  
Adil Loya
Keyword(s):  
Supply Chain ◽  
Capacity Planning ◽  
Strategic Positioning ◽  
Shifting Bottleneck ◽  
Customer Order ◽  
Make To Order ◽  
Make To Stock ◽  
Engineer To Order ◽  
Operational Constraints ◽  
Specific Part

AbstractThe decoupling point separates part of the supply chain oriented towards customer orders from the part based on forecast planning. This paper focuses on identification of bottlenecks and their positioning with respect to customer order decoupling point (CODP) in supply chain continuum. The research is based on a conceptual model that separates engineer to order (ETO), make to order (MTO), assemble to order (ATO) and make to stock (MTS) by a decoupling point. The important feature of this paper is that supply, demand and operational constraints are allocated in specific part of the supply chain, making it more versatile. Shifting bottleneck concepts, including impact of bottleneck position and issues concerning production and capacity planning, are studied extensively to stabilize the supply chain and reduce its complexity.

scholarly journals Finite capacity planning algorithm for semiconductor industry considering lots priority

2015 ◽  
Vol 48 (3) ◽  
pp. 1598-1603 ◽  
Author(s):  
E. Mhiri ◽  
M. Jacomino ◽  
F. Mangione ◽  
P. Vialletelle ◽  
G. Lepelletier
Keyword(s):  
Capacity Planning ◽  
Semiconductor Industry ◽  
Finite Capacity ◽  
Planning Algorithm

A finite capacity material requirements planning system

2000 ◽  
Vol 11 (2) ◽  
pp. 113-121 ◽  
Author(s):  
P. C. Pandey ◽  
Pisal Yenradee ◽  
Sunisa Archariyapruek
Keyword(s):  
Planning System ◽  
Finite Capacity ◽  
Material Requirements Planning ◽  
Material Requirements

scholarly journals Research on multi objective planning optimization of integrated energy system with economic and low carbon objectives

2020 ◽  
Vol 218 ◽  
pp. 02029
Author(s):  
Rong Chen ◽  
Zejun Jia ◽  
Yongli Wang ◽  
Feifei Huang ◽  
Yuze Ma ◽  
...  
Keyword(s):  
Capacity Planning ◽  
System Optimization ◽  
Energy System ◽  
Planning System ◽  
Dynamic Programming Method ◽  
Low Carbon ◽  
Planning Optimization ◽  
Maximum Benefit ◽  
Integrated Energy System ◽  
Energy System Planning

In response to the global energy crisis, the integrated energy system has become an important part of the energy revolution. Aiming at the economic operation of the Integrated Energy System (IES), this paper proposes a system optimization planning model that takes the economic and environmental optimization as the goal and establishes a coupled capacity planning system, and jointly optimizes the capacity configuration and configuration of a single energy supply module. Power output to pursue maximum benefit. In order to illustrate the advantages of this method, on the basis of simulation, a dynamic programming method is used to solve the model. Finally, the simulation results show the effectiveness of the planning optimization model proposed in this paper, and provide a new path for solving the optimization problem of integrated energy system planning.

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