As the flourish of today’s supply chain, the traditional model of replenishment will cause accumulation of excessive inventory to the retailers and customers, or cause…
As the flourish of today’s supply chain, the traditional model of replenishment will cause accumulation of excessive inventory to the retailers and customers, or cause shortages and inability to meet the demands. To solve this problem, Theory of Constraints (TOC) proposed the replenishment model of demand‐pull, combined with the establishment of factory‐warehouse to achieve performance improvement. In the absence of empirical research, this study applied the Bean Game developed by Dr. Goldratt to design a supply chain system for different scenarios, in order to allow players and managers better understanding and supporting the TOC replenishment method through the operations of the game.
This study researched an enterprise resources planning (ERP) implementation project at a printed circuit board (PCB) manufacturer. In depth research was achieved by participating and observing in an implementation project at an actual PCB manufacturer. It is hoped that this study will contribute a valuable reference resource for future PCB manufacturers that wish to select or implement ERP systems. The first step in implementing ERP software is to set a clear target. At the same time, the tasks of each department and the system of cooperation between departments must be clearly defined. In this way, the cycle time of each flow and the accuracy of data will both be improved. In order to ensure smooth implementation of an ERP project, the followings are key factors: (1) an ERP system that suits the PCB industry; (2) effective project management; (3) effective project cost/budget control; (4) project problem management system; (5) comprehensive implementation method and information technology (IT), etc. By keeping to these principals, Company A achieved rapid transactions, and lower total cycle times and inventory levels, and other such benefits that had been predicted.
The definition of cycle time is the time from the wafer start to the wafer output. It usually takes one or two months to get the product since customer decides to produce…
The definition of cycle time is the time from the wafer start to the wafer output. It usually takes one or two months to get the product since customer decides to produce it. The cycle time is a critical factor for customer satisfaction because it represents the response time to the market. Long cycle time reflects the ineffective investment for the capital. The cycle time is very important for foundry because long cycle time will cause customer unsatisfied and the order loss. Consequently, all of the foundries put lots of human source in the cycle time improvement. Usually, we make decisions based on the experience in the cycle time management. We have no mechanism or theory for cycle time management. We do work‐in‐process (WIP) management based on turn rate and standard WIP (STD WIP) set by experiences. But the experience didn’t mean the optimal solution, when the situation changed, the cycle time or the standard WIP will also be changed. The experience will not always be applicable. If we only have the experience and no mechanism, management will not be work out. After interview several foundry fab managers, all of the fab can’t reflect the situation. That is, all of them will have an impact period after product mix or utilization varied. In this study, we want to develop a formula for standard WIP and use statistical process control (SPC) concept to set WIP upper/lower limit level. When WIP exceed the limit level, it will trigger action plans to compensate WIP Profile. If WIP Profile balances, we don’t need too much WIP. So WIP level could be reduced and cycle time also could be reduced.
The steel bars account for a high percentage of material costs for the current construction projects. At the present time, most of the construction projects for the…
The steel bars account for a high percentage of material costs for the current construction projects. At the present time, most of the construction projects for the factories of thin‐film transistor liquid crystal display (TFT‐LCD) complete the transactions of steel bars when the suppliers ship the steel bars to the temporary storage/processing sites. This paper applies the buy‐in concept in the Theory of Constraint (TOC) on the supply chain of steel bars. In this study, suppliers are required to establish warehouses at the construction sites and complete the transactions when the formed and processed steel bars are shipped into the factory sites. The aim is to find a win‐win solution to meet with the expectations from constructors as they hope that there is no need to build up inventories but supply is ready at any time. Also, this paper compares and analyzes the traditional supply/inventory model of steel bars and the Demand‐Pull (D‐P) model under the TOC framework. It is proved that Vendor Management Inventory (VMI) in the D‐P model is able to more effectively manage steel bars as a material.
Face the process yield rate improvements of motherboard, although general enterprises finish deployment goal of each functions by overall quality managements, through…
Face the process yield rate improvements of motherboard, although general enterprises finish deployment goal of each functions by overall quality managements, through quality improvement methods, industry engineering methods, plan‐do‐check‐act (PDCA) methods and other improvement solutions, but it is only can be improved partially and unable to enhance the yield rate of product to the target. It only can takes one step ahead to enhance the process yield rate of motherboard with six sigma (6 σ) overall DMAIC process and tactics. This research aimed to use six sigma quality improvement tactics by DMAIC systematic procedure and tactics, and find the key factors that effect to the process yield rate of surface mount technology. It also identified the keys input and process and output index to satisfy customer requirements and internal process index. The results showed that the major effective factors by fishbone and process failure modes and effects analysis (PFMEA). If the index of input and output that can be quantified, the optimum parameter can be found through design of experiment to ensure that the process is stable. If the factor of input and output that cannot be quantified, we found out the effective countermeasure by Mind_Mapping, make sure whole processes can be controlled stably, to reach the high product quality and enhance the customer satisfaction.