應用規劃求解最佳化模式分析有限人力資源配置:以企業建廠為例

沈步璠

doi:10.6341/fcu.P0043264

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應用規劃求解最佳化模式分析有限人力資源配置:以企業建廠為例

Apply Solver Optimization Mode to Solve the Allocation of Limited Human Resources: Enterprise Plant Construction

沈步璠 , Ph.D　　Advisor：林正紋　　

繁體中文 DOI： 10.6341/fcu.P0043264

專案排程；資源限制；決策分析；最佳化模式； Project scheduling ； Resource constraints ； Decision analysis ； Optimization mode

Abstract │ Reference (122) │ Altmetrics

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Due to ever-tougher worldwide demand for engineering quality control, the construction project scheduling is becoming increasingly prominent.  However, with rapid overseas growth of Taiwan-based enterprises, it is a must for them to build local plants, which has gradually complicated issues to consider in project scheduling. In the past, the technology of project scheduling is mainly the critical path method (CPM) and the Program Evaluation and Review Technique (PERT), but in recent years, enterprises in their nonlocal development have often encountered allocation and acquirement problems of human resources. In this way, the single considering scheduling control without taking into account of limited human resources will make infeasible the decisions by enterprises. Therefore, the resource scheduling considering limited human resource allocation will be valued by enterprises. In addition to the allocation of human resources, another challenge is the flow of capital. The previous studies mainly use the CPM and PERT scheduled under the condition of abundant resources, and this practice doesn't consider the costs in the actual operation, will make the original schedule lost the optimality. Therefore, this study under the condition of limited human resources and minimal costs to build an optimized of the Project Scheduling mode to assist decision-makers to plan effectively. This research, referring to the solver method in the management science, constructs a spreadsheet model and applies the shortest path problem as scheduling technique to achieve the objective of minimal cost.
 
This model provides a network optimization problem with integer constraints, which can use simple Excel software for solution.  To test the solution effectiveness of this spreadsheet, the research with an existing company as the case study. In 2011, it produced the preliminary budget for the human resources cost of building a plant in the mainland of China in 2012.  The research based on data of this project is a case study and re-plans the original resource allocation to find out how to produce the optimal scheme. The comparison results indicate that: (1) the allocation of limited human resources is the main reason affecting the project scheduling, while the spreadsheet mode can efficiently solve this as well as greatly lower the cost of human resources; (2) the planning of project scheduling is the fundamental reason whether the project can be completed in time, based on the shortest completion time in the project scheduling, the shortest path method is not evidently better than the CPM, but comparing the convenience in any change in the project scheduling operation, the shortest path method is better than the CPM, the shortest path problem and solver spreadsheet model can be Combined, and with just changing the desired cells it can solve the problem again. In this way, it can produce reasonable and convenient project planning compared with CPM.

Reference ( 122 ) 〈TOP〉

黃駿逸(2007) ，「農林漁牧業普查人力指派最佳決策模式之研究」，碩士論文，國立中央大學土木研究所。
連結：
王國棟(2011)，「PERT/CPM 之應用-以個案公司年終尾牙籌備作業為例」，碩士論文，中原大學國際貿易研究所。
連結：
Anderson, D., Sweeney, D., Williams, T., Camm, J. and Cochran, J. (2015), An introduction to management science: quantitative approaches to decision making. Cengage Learning.
連結：
Aouni, B., Colapinto, C. and La Torre, D. (2014), “Financial Portfolio Management Through the Goal Grogramming Model: Current State-of-the-art”, European Journal of Operational Research, Vol. 234, No. 2, pp. 536-545.
連結：
Arashpour, M. and Arashpour, M. (2015), “Analysis of Workflow Variability and Its Impacts on Productivity and Performance in Construction of Multistory Buildings”, Journal of Management in Engineering.
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