A DEA approach for the selection of pallet storage/retrieval systems

[[abstract]]以運籌的觀點來看，倉儲扮演著影響績效的重要角色。本研究探討影響棧板倉儲系統績效之因素，並利用資料包絡分析法，發展決策模式並同時考量投入產出項以評估系統環境間的相對效率。 本研究之評估模式考量四種儲存設備，分別為單倍深料架、雙倍深料架、流動式料架及自動化料架；此外，考量四種搬運設備，分別為平衡舉升堆高機、跨立式堆高機、側載式堆高機及倍深式堆高機。分別針對四種儲存設備及四種搬運設備，進行評估模型的建立。績效評估模式由成本投入項、時間利用率及吞吐量兩項產出項作為衡量績效之決策單位。透過數學模式估算，並結合資料包絡分析法，可評估儲存設備與搬運設備之組合所產生的績效。 本研究藉由五種倉儲情境，探討由不同長、寬、高等設施環境條件下，儲存設備與搬運設備之組合，所產生的績效。以實證資料驗證其模型之可行性，期望能提供企業建構倉儲設施時，衡量之參考。[[abstract]]From the logistics point of view, warehouse acts as a critical role for optimizing the logistics performance. This study would like to construct a decision analysis model with the alternatives of pallet storage/retrieval (R/S) systems. A Data Envelopment Analysis (DEA) approach was adopted to analyze system efficiency, which integrated important input and output variables to evaluate the respective efficiency of warehouse R/S systems. Our decision model is based on the decision alternatives of storage and retrieval combinations. Four pallet storage systems include single-deep storage system, double-deep storage system, flow rack storage system, and mobile rack storage system. Furthermore; four retrieval devices are considered namely counterbalanced lift truck, straddle forklift, sideloader forklift, and reach truck. Our DEA model considers three major aspects: cost input variable, space utilization and throughput output variables. As the measurement of input and output variables was investigated and the approach of DEA was adopted, performance of specified warehouse combinations can be evaluated. To evaluate the proposed decision model, this study investigated a special warehouse environment with five scenarios analysis. These five scenarios differ from its layout conditions of number of depth, length, and levels. Findings presented in this study may be provided as a decision-making mechanism for warehouse decision makers