Business Commons^™

Smart Manufacturing And Its Implications For Singapore's Smes, Thomas Menkhoff, Surianarayanan Gopalakrishnan

Research Collection Lee Kong Chian School Of Business

While Covid-19 and the climate catastrophe continue to make headlines, local small and medium-sized enterprises (SMEs) are quietly setting the gears of Smart Manufacturing in motion with a strategic focus on digitising and automating production processes powered by "Industry 4.0" (I4.0) ready business models. A shared view among several interviewees we talked to recently in the context of an ongoing study on the impact of I4.0 on the business models of local manufacturers is that Industrial Internet-of-Things (IIoT), machine learning, visual computing, automation and digital twining are deemed of great importance for the long-term competitiveness of Singapore's manufacturing ecosystem on …

Application Of Critical Chain Project Management To The Production Part Approval Process, David Podolak

Masters Theses & Specialist Projects

Daicel Safety Systems Americas, INC has traditionally utilized various methods to manage project completions including the Critical Path Method (CPM). Though these methods have led to successful project completions, they often come with adverse effects. Due to the amount of literature and advancement in the project management discipline, alternative options such as Critical Chain Project Management (CCPM) have gained popularity. CCPM seeks to perfect the CPM approach by recognizing resource constraints and the critical chains dependency on them while safeguarding completion dates with buffers. CCPM offers project managers an option to remove resource inefficiency and stalling while meeting deadlines.

The …

The Impact Of Increasing User Expectations On Machine Replacement, Robert F. Marsh, Seong-Hyun Nam

WCBT Faculty Publications

This study explores the traditional equipment maintain or replace decision under scenarios of increasing customer expectations, loss due to process deviation, and process drift. Customer expectations are operationalized by tighter product specifications. The Taguchi loss function is employed to estimate the loss due to target deviation. In this paper we characterize the machine drift, uncertainty about future technological change, and the learn-and-break-in process by a generalized Brownian-Motion-Ito-Process. The photolithography process is analyzed in numerous scenarios varying demand, rejection levels, and quality losses.