Do Firms Benefit From Agglomeration? A Productivity Analysis For Turkish Manufacturing Industry

2016 ◽  
Vol 27 (98) ◽  
pp. 115
Author(s):  
Selcen Ozturk ◽  
Dilek Kilic
Author(s):  
Katrin Sinaga ◽  
Kevin Lie ◽  
Nico Williams ◽  
Theresia Sunarni

A Factory is a manufacturing industry that produces tea drinks in cups. A Factory is also inseparable from problems related to machine/equipment productivity. Based on the results of observations made at A Factory part of the production line that there is often a sudden stop of the production process. The discontinuation will affect the quality of the product expected and the production targets to be achieved. The problem was discussed in this research is how much the productivity level of the filling production department is, how much the production effectiveness, effective working hours, the number of defective products, and machine downtime criteria. The productivity measurement method used is the Objective Matrix (OMAX) method, so the steps of this study refer to OMAX steps, which is the criteria determination/productivity ratio of the production line, the calculation of the productivity ratio value, the calculation of the initial standard score (score 3), The determination of the goal (score 10) and the lowest score (score 0), the determination of weight, the calculation of value/criteria value, the determination of productivity value for each period, determination of index percentage. With the OMAX method, it can be seen that in period 11 (compared to period 10) there was an increase in productivity, this can be seen because the IP value (Index of Performance) which is positive (+) is 27.79 and there is an increase in the value of the calculation at the time of measurement (current) from 383.36 to 300. This increase was due to an increase in the value of all criteria.


2020 ◽  
Vol 16 (2) ◽  
pp. 1-34
Author(s):  
Yap Wan Yee ◽  
Mohammad Nishat Akhtar ◽  
Elmi Abu Bakar

Product quality is an important issue in all manufacturing industry nowadays to meet the customers’ requirement. In this regard, most of the factory has a special department namely Quality Control (QC) Department which control the product quality. The studied factory is a flexible printed circuit board manufacturer which is located in Bayan Lepas, Pulau Pinang, Malaysia. QC Department of the studied factory has high amount of work-in-progress (WIP). Therefore, the products have to be sent out to subcontractors for quality inspection. However, this method is not economically effective. Hence, the objective of this study was to develop an improved inspection method which will reduce the overall inspection time of the current inspection method (CIM). By reducing the inspection time, productivity of the department will increase and subsequently reduce the amount of WIP. This study is focused on the improvement of one product only. Before the improved inspection method (IIM) of the selected product was developed, performance of the CIM was evaluated by using one of the graphical productivity analysis charting techniques which is flow process chart. It was found that the IIM was able to reduce the inspection time of whole inspection process by 85.06 sec for every 12 panels inspected.


Author(s):  
Chelsea Ritter ◽  
Regina Dias Barkokebas ◽  
Xinming Li ◽  
Mohamed Al-Hussein

Workers in the construction manufacturing industry are often exposed to labour-intensive tasks with ergonomic risks such as awkward body posture, forceful exertion, and repetition motion. Due to the increased productivity and increased repetitive motions resulting from improvement initiatives implemented in offsite construction, the investigation of ergonomic risks associated with these changes is needed. In this context, this paper explores an existing panelised floor production line aiming to minimize its ergonomic risks while improving its current productivity rate. Information on human body motion and productivity are extracted from video recordings. The ergonomic risks associated with specific tasks are identified using an existing ergonomic risk assessment tool (i.e., Rapid Entire Body Assessment (REBA)). The information extracted from the simulation model pertaining to ergonomic risks and productivity supports the decisionmaking process and aids in the prioritization of changes to improve the working environment.


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