利用實驗證明生產管理的方式為影響達交率的主要原因

Abstract

達交率對接單生產(Make-To-Order)的企業來說是相當重要的，在售價或品質等其他條件相同情況下，具有能可靠達交能力的公司擁有較大的競爭優勢，反之，經常性的延宕訂單的公司容易失去銷售機會以及商譽。在過去有相當多實務與學術上的研究致力於改善交期的方法，但達交率低落的問題依舊存在。為了提升達交率，有一部份的公司是致力在降低變異，另一部份則是專注在改善生產管理的方式，但哪一項才是達交率低落的主要原因呢？在過去研究中曾有人利用遊戲實驗證明，管理方式才是影響達交率的主要原因，但本研究認為其中有些遊戲實驗中所設計之條件與假設不符合實際，因此本研究設計了一個含有四個情境的虛擬環境，藉此遊戲收集數據，並從數據中分析影響達交率的主要原因是來自管理的方式。 此實驗前三個情境是在一個無變異的零工式(Job Shop)生產環境中進行，利用不同的條件證明變異即使在此條件下依舊不是造成達交率低落的主要原因，並從第四個有變異情境反證，在有好的管理方式下，即使在較為複雜的情境，生產管理績效會與無變異的情境相同或更好，進而證明，管理的方式才是影響達交率的主要原因。

DDP regard to a single production (Make-To-Order) is important for businesses. In price, quality and other conditions are the same, company has a competitive advantage with reliable delivery capacity, in the other hand, company lose goodwill with frequent delays in orders and sales opportunities. In order to improve the DDP, one part of a company committed to reducing variation, the other part is to focus on ways to improve production management. But which one is the main reason? Studies in the past has been experimentally proved that management is the main impact of DDP. However, this study suggests that some of the designed experiment conditions and assumptions do not meet the actual situation, this research designed a virtual environment with four scenarios. Taking the game to collect data, and from the data analysis on the DDP is mainly due to the way from the management.

The first three scenarios in this experiment is a job shop production environment without variations, using the different conditions to prove that variations are not the main reason for poor DDP. There are variations from the fourth scenario evidence to the contrary: even in more complex situations, management performance will be the same or better than the scenario without variations under the good management. And prove that management is the main cause of poor DDP.