Capacity Planning Model for Make-To-Order Companies Considering Lateness Penalty Cost Based on Critical Resources

2019 ◽  
pp. 320-325
Author(s):  
Wisnu Aribowo ◽  
Muhammad Afandi Hudzaifah ◽  
Abdul Hakim Halim
Keyword(s):  
Capacity Planning ◽  
Planning Model ◽  
Penalty Cost ◽  
Make To Order ◽  
Critical Resources

A Production Planning Model for Make-To-Order Companies with Capacity Constraint

2011 ◽  
Vol 201-203 ◽  
pp. 1066-1069 ◽  
Author(s):  
Hua Li Gao ◽  
Bin Dan ◽  
You Guo Jing
Keyword(s):  
Decision Making ◽  
Production Planning ◽  
Production Systems ◽  
Optimal Solution ◽  
Capacity Constraint ◽  
Planning Model ◽  
Numerical Example ◽  
Make To Order ◽  
Decision Making Model

This paper proposes a decision-making model of the planning quantity put into production for Make-To-Order (MTO) companies with capacity constraint. The low repeatability and the uncertain products eligibility-rate of the MTO production systems are fully taken into account, and an optimal solution is presented. Finally, a numerical example is given to illustrate the validity of the model.

scholarly journals Capacity Planning of Distributed Wind Power Based on a Variable-Structure Copula Involving Energy Storage Systems

Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3602
Author(s):  
Yurong Wang ◽  
Ruolin Yang ◽  
Sixuan Xu ◽  
Yi Tang
Keyword(s):  
Energy Storage ◽  
Wind Power ◽  
Capacity Planning ◽  
Optimization Theory ◽  
Variable Structure ◽  
Planning Model ◽  
Environmental Benefit ◽  
Time Segment ◽  
Planning Stage ◽  
Study Results

Distributed wind power (DWP) needs to be consumed locally under a 110 kV network without reverse power flow in China. To maximize the use of DWP, this paper proposes a novel method for capacity planning of DWP with participation of the energy storage system (ESS) in multiple scenarios by means of a variable-structure copula and optimization theory. First, wind power and local load are predicted at the planning stage by an autoregressive moving average (ARMA) model, then, variable-structure copula models are established based on different time segment strategies to depict the correlation of DWP and load, and the joint typical scenarios of DWP and load are generated by clustering, and a capacity planning model of DWP is proposed considering investment and operation cost, and environmental benefit and line loss cost under typical scenario conditions. Moreover, a collaborative capacity planning model for DWP and ESS is prospectively proposed. Based on the modified IEEE-33 bus system, the results of the case study show that the DWP capacity result is more reasonable after considering the correlation of wind and load by using a variable-structure copula. With consideration of the collaborative planning of DWP and load, the consumption of DWP is further improved, the annual cost of the system is more economical, and the quality of voltage is effectively improved. The study results validate the proposed method and provide effective reference for the planning strategy of DWP.

scholarly journals A general strategic capacity planning model under demand uncertainty

2006 ◽  
Vol 53 (2) ◽  
pp. 137-150 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Robin O. Roundy ◽  
Metin Çakanyildirim
Keyword(s):  
Capacity Planning ◽  
Demand Uncertainty ◽  
Planning Model ◽  
Strategic Capacity

scholarly journals The capacity planning problem in make-to-order enterprises

2009 ◽  
Vol 50 (9-10) ◽  
pp. 1461-1473 ◽  
Author(s):  
Chin-Sheng Chen ◽  
Siddharth Mestry ◽  
Purushothaman Damodaran ◽  
Chao Wang
Keyword(s):  
Capacity Planning ◽  
Planning Problem ◽  
Make To Order

scholarly journals A continuous-time strategic capacity planning model

2005 ◽  
Vol 52 (4) ◽  
pp. 329-343 ◽  
Author(s):  
Woonghee Tim Huh ◽  
Robin O. Roundy
Keyword(s):  
Continuous Time ◽  
Capacity Planning ◽  
Planning Model ◽  
Strategic Capacity

scholarly journals Capacity coordination in hybrid make-to-stock/make-to-order contexts using an enhanced multi-stage model

2017 ◽  
Vol 14 (3) ◽  
pp. 396
Author(s):  
Masoud Rabbani ◽  
Sara Motevali Haghighi ◽  
Hamed Farrokhi-Asl ◽  
Neda Manavizadeh
Keyword(s):  
Capacity Planning ◽  
Production Systems ◽  
Lot Sizing ◽  
Service Level ◽  
Stage Model ◽  
Order Acceptance ◽  
Industrial Case Study ◽  
Make To Order ◽  
Multi Stage ◽  
Make To Stock

One of the most attracting production systems that has recently been vastly explored by practitioners and academicians is hybrid make-to-stock/make-to-order. Having a hierarchical production planning structure considered, this paper develops a multi-stage model to cope with the operational decisions, including order acceptance/rejection, product lot sizing, overtime capacity planning, outsourcing, and due date setting. Moreover, the proposed framework also comprises providing alternative products for the coming orders in order to enhance service level of the firm to the customers. In order to validate the presented framework, it is applied in a real industrial case study and the obtained results approve validity of the proposed framework. 

Sign in / Sign up

Export Citation Format

Share Document