Optimal product mix and scheduling in a multistage G.T. based manufacturing system

1988 ◽  
Vol 17 ◽  
pp. 417-422
Author(s):  
P.C. Pandey ◽  
B.V. Somasekhara ◽  
N.K. Mehta
Author(s):  
Amit Bhandwale ◽  
Thenkurussi Kesavadas

The identification of part families and machine groups that form the cells is a major step in the development of a cellular manufacturing system. The primary input to cell formation algorithms is the machine-part incidence matrix, which is a binary matrix representing machining requirements of parts in various part families. One common assumption of these cell formation algorithms is that the product mix remains stable over a period of time. In today’s world, the market demand is being shaped by consumers, resulting in a highly volatile market. This has given rise to a class of products characterized by low volume and high variety, which presents engineers with lots of problems and decisions in the early stages of product development. This can have an adverse effect on manufacturing like high investment in new machinery and material handling equipment, long setup times, high tooling costs, increased intercellular movement and excessive scrap which increases the cost without adding any value to the parts. Any change to the product mix results in a change in the machine-part incidence matrix, which may change the part families and machine groups, which form the cells. The manufacturing system needs to be flexible in order to handle large product mix changes. This paper discusses the impact of product mix variations on cellular manufacturing and presents a methodology to incorporate these variations into an existing cellular manufacturing setup.


2015 ◽  
Vol 799-800 ◽  
pp. 1410-1416
Author(s):  
Guanghsu A. Chang ◽  
William R. Peterson

Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated and compared for the original and the improved FMS. The results obtained by this method may be useful to other researchers for similar types of applications.


2016 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Rajeev Kumar

In present market scenario, manufacturing industries need to focus towards capability to provide high product variety and availability of products at the point of demand. This situation creates pressure on manufacturing firms to be flexible and to reduce lead time to fulfill customer's demand on time. Flexible Manufacturing Systems (FMS) with appropriate Routing Flexibility (RF) in addition to different scheduling strategies is the appropriate manufacturing alternative in such a case. Such systems are capable to adjust changing product mix yet providing higher performance in dynamic business environment. This research work presents simulation analysis of a FMS with varying Routing Flexibility (RF) level at different part mix ratio to validate this. The results show that varying part mix ratio has appreciable effect on the system performance, when no routing flexibility is present in the system. Also for all product mix ratios, increase in routing flexibility levels continues to improve MST performance with diminishing return.


Procedia CIRP ◽  
2017 ◽  
Vol 63 ◽  
pp. 277-282 ◽  
Author(s):  
Oladipupo Olaitan ◽  
Quan Yu ◽  
Erlend Alfnes

2021 ◽  
Vol 11 (6) ◽  
pp. 2748
Author(s):  
Dug Hee Moon ◽  
Dong Ok Kim ◽  
Yang Woo Shin

The estimation of production rate (or throughput) is important in manufacturing system design. Herein, we consider the manufacturing system of an automotive body shop in which two types of car are produced, and one car (engine car) is substituted by the other car (electric car) gradually. In this body shop, two different underbody lines are installed because the underbody structures of the two types of cars differ completely; however, the side body line and main body line are shared by the two cars. Furthermore, we assume that the underbody lines are reconfigurable based on an increase in the product mix of the electric car. A simulation-based meta-model, which is in the form of a quadratic polynomial function, is developed to estimate the production rate. In the meta-modelling process, we group some buffer locations and represent them as one variable to reduce the number of variables included in the meta-model. Subsequently, the meta-models have been used to optimize two types of buffer allocation problems, and optimal solutions are obtained easily.


2019 ◽  
Vol 7 (02) ◽  
pp. 141
Author(s):  
Muhammad Nur Rizqi

Cost volume profit is concerned with determining the sales volume and product mix needed to achieve the level of profit. This analysis is a tool that will provide information to management about the relationship between costs, profits, product mix and sales volume based on the following assumptions: that all costs can be separated into part variable and part fixed, and that the total fixed costs are constant throughout the range analysis, and total variable costs change proportionately to changes in volume. The purpose of this study was to find a level of significance, the analysis reports in a vertical Income, Profit and Loss report analyzes horizontal and analytical results reported in the Profit and Loss concern cost volume profit at PT. Hadinata BROTHERSThe research method used is a case study method. This method covers the activities carried out by conducting research directly to the location to obtain the necessary data in connection with the problem under study. The study was conducted at the manufacturing company PT Hadinata BROTHERSFrom the results of research conducted, that the PT Hadinata BROTHERS January sales of 100%, February 77.02%, March 69.63%, 69.96% April, May 38.23%, 41.92% June decline highly significant, while the price of goods sold in January 97.65%, February 98.73%, March 90.59%, 97.66% April, May 177.40%, 112.25% in June and operating costs of January 2, 87% February 2.84% March 2.57% April 3.22% May 5.64% June 6.22%. Resulting in profits in January -0.53% February -1.67% March 6.83% -0.88% April, May -83.05%, -18.47% in June. So the calculation of break even point analysis (BEP) for January Rp. 1.884.750.000, February Rp. 1.6245 billion, in March Rp. 1.953.437.500, In April Rp. 1.889.750.000, May Rp. 1.323.000.000, June Rp. 1211370000.The results of the evaluation in this study that Analysis on the Income Statement in a vertical, PT Hadinata BROTHERS unprofitable can be said because it has not shown the numbers increased continuously. Overall in each unit of the income statement is presented there are irregularities that occurred at the Cost of Goods Sold which almost every month figures show a drop sales Cost of Goods or small. Analysis on the income statement horizontally, PT. Hadinata BROTHERS is a graph showing a decline in the percentage of each month. Overall figures on Cost of Goods Sold problems are large, while the sales figures showed a decline in every month. To anticipate the losses the company needs to make cost accounting system is organized so it can be budgeted revenues, expenses and profits as well. Key words: cost analysis of volume, profitability profit 


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