A bi-objective optimization of the supply chain transshipment policy

[[abstract]]本研究以三階層供應鏈為研究架構，將在途庫存資訊納入水平轉運決策設計，發展更具有前瞻性的被動式水平轉運方法，以更妥善的方式，發揮水平轉運能力，提升供應鏈整體績效。 研究方法結合系統模擬與雙目標粒子群演算法，求解無水平轉運方法、一般水平轉運方法，及本研究提出的前瞻性水平轉運方法一、前瞻性水平轉運方法二的非凌駕解集合，以非凌駕解集合比較凌駕覆蓋率，判斷這四種存貨管理方法在不同情境下的優劣勢。 無水平轉運方法單純由上游進行補貨；一般水平轉運方法是有缺貨或缺貨風險就請求轉運；前瞻性水平轉運方法一，在請求轉運前，會考量自身在途庫存資訊，以決定是否要請求轉運；前瞻性水平轉運方法二，是前瞻性水平轉運方法一的延伸，夥伴在拒絕轉運請求前，會考量自身在途庫存資訊，以決定是否要拒絕轉運請求。 研究結果顯示，考量在途庫存資訊的前瞻性水平轉運方法一與前瞻性水平轉運方法二，在任何情況皆可完全優於無水平轉運方法，且在多數情況中，優於一般水平轉運方法。[[abstract]]We developed reactive lateral transshipment in a three-echelon supply chain network with pipeline information And we propose to increase the performances of supply chain with using more appropriate policy In this study we combined system simulation with bi-objective optimization And then we compared coverage of two sets in four inventory management approaches The four approaches are No Lateral Transshipment General Lateral Transshipment Foresighted Lateral Transshipment 1 and Foresighted Lateral Transshipment 2 No Lateral Transshipment is standalone replenishment delivery from DC When stock out (or the risk of a stock out) General Lateral Transshipment requested partners to transship inventory Foresighted Lateral Transshipment 1 considered pipeline information itself before dealer requested transshipment Foresighted Lateral Transshipment 2 that extended from Foresighted Lateral Transshipment 1 considered partner‘s pipeline information itself before dealer‘s partner rejected transshipment Results show reactive lateral transshipments with pipeline information are excellent in most case