Abstract
This paper uses a real case study of Taiwan’s Middle Alliance of Department of Health (TMADH) to explore the selection of suitable aggregate production planning (APP) strategies in hospital supply chain management (SCM). A simulation method was used to simulate the six different APP’s strategies to further evaluate the results of multiple objectives, including total cost (TC), average service level (SL) and average changes in production rate (PR). This paper uses the TOPSIS and fuzzy linguistic methods to compare the different weights of different objectives to obtain the optimal APP strategy selection sequence for decision-makers in hospital SCM. The results of this study show that decision-makers only need to apply historical data in APP strategy planning to obtain the superior solution; in other words, decreasing the complexity of the decision process in selecting an APP strategy and SCM production policy which is the primary contribution of this paper.
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