A Coordinated Planning Model with Demand Uncertainty

OPSEARCH ◽  
2003 ◽  
Vol 40 (2) ◽  
pp. 63-80
Author(s):  
Nagendra N. Nagarur ◽  
Wipanan Iaprasert ◽  
Anulark Techanitisawad
Keyword(s):  
Demand Uncertainty ◽  
Planning Model

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

A two-stage skilled manpower planning model with demand uncertainty

2018 ◽  
Vol 11 (4) ◽  
pp. 526-551 ◽  
Author(s):  
Mohsen Sadeghi-Dastaki ◽  
Abbas Afrazeh
Keyword(s):  
Large Scale ◽  
Demand Uncertainty ◽  
Benders Decomposition ◽  
Latin Hypercube Sampling ◽  
Sample Average Approximation ◽  
Manpower Planning ◽  
Mixed Integer ◽  
Planning Model ◽  
Two Stage ◽  
Content Type

Purpose Human resources are one of the most important and effective elements for companies. In other words, employees are a competitive advantage. This issue is more vital in the supply chains and production systems, because of high need for manpower in the different specification. Therefore, manpower planning is an important, essential and complex task. The purpose of this paper is to present a manpower planning model for production departments. The authors consider workforce with individual and hierarchical skills with skill substitution in the planning. Assuming workforce demand as a factor of uncertainty, a two-stage stochastic model is proposed. Design/methodology/approach To solve the proposed mixed-integer model in the real-world cases and large-scale problems, a Benders’ decomposition algorithm is introduced. Some test instances are solved, with scenarios generated by Monte Carlo method. For some test instances, to find the number of suitable scenarios, the authors use the sample average approximation method and to generate scenarios, the authors use Latin hypercube sampling method. Findings The results show a reasonable performance in terms of both quality and solution time. Finally, the paper concludes with some analysis of the results and suggestions for further research. Originality/value Researchers have attracted to other uncertainty factors such as costs and products demand in the literature, and have little attention to workforce demand as an uncertainty factor. Furthermore, most of the time, researchers assume that there is no difference between the education level and skill, while they are not necessarily equivalent. Hence, this paper enters these elements into decision making.

scholarly journals Market-Oriented Procurement Planning Leading to a Higher Service Level and Cost Optimization

2020 ◽  
Vol 10 (23) ◽  
pp. 8734
Author(s):  
Sergio Gallego-García ◽  
Manuel García-García
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Demand Uncertainty ◽  
Industrial Revolution ◽  
Cost Optimization ◽  
Service Level ◽  
Global Market ◽  
Planning Model ◽  
The Impact ◽  
Procurement Planning

The current global market situation pursues high adaptability, but why? Complexity due to mass customization is greater than ever. Globalization is no longer a theory but a fact that makes disruptions in the globalized supply chain a major risk for operations. In this context, customers demand novelty and unique experiences. These are the main drivers for market success. Therefore, existing products are now in continuous states of change with shortened product lifecycles. The purpose of this article is to analyze the impact of new market entries and product changes along the lifecycle as well as supply chain disruptions in supplier inventory levels. The goal is to minimize costs by achieving a given service level with a market-oriented procurement planning model. The model pursues minimizing the time needed to align the system with the market and, therefore, the adaptability of the system. The research compares classical inventory management models with the new proposed approach by means of simulation with the system dynamics methodology. The results show how the proposed model increased the delivery service level, reduced inventory costs, and increased the utilization of resources due to lower demand uncertainty. Therefore, the developed model is able to plan the inventory supply with a low risk of stock outages. The conclusion proposes a differentiated forecasting and inventory strategy depending on the product lifecycle stage. The developed market-oriented procurement planning model provides guidance for inventory managers regarding how to optimize their operations as an opportunity within the fourth industrial revolution to develop information technology (IT) systems to gather and utilize demand and inventory data with real-time efficiency.

Examination of the Optimal Equipment Planning Model of Heat and Power

2008 ◽  
Vol 128 (1) ◽  
pp. 187-192
Author(s):  
Takanori Hayashi ◽  
Toshihisa Funabashi ◽  
Yoshimichi Okuno ◽  
Yasuyuki Hoshi
Keyword(s):  
Planning Model
Sign in / Sign up

Export Citation Format

Share Document