This case study focuses on a medium-sized enterprise operating in the textile industry, specifically in apparel manufacturing. The primary challenge identified in the manufacturing unit was the efficient utilization of resources. The study outlined constraints related to various resources, including threads, fabrics, human resources, overheads, stitching, cutting, and finishing time. Additionally, it examined the production requirements for five products, namely Polo T-shirts, round neck T-shirts, basic T- shirts, singlets, and v-neck T-shirts. The resources requirement for the products and their respective maximum held value are as shown in Table 1 and Table 2 respectively. The demand and profit of the products are tabulated in Table 3. Table 1. Resource allocation product-wise Fabrics Thread Labor Overhead Cutting meters RM (hours) .03 215 11 105 142 Products (T-shirts and pants) Polo T- shirt Basic T-shirt Round Neck T-shirt Singlets V neck T- shirt (a) (b) (c) gms 315 200 195 180 50 105 190 Demand 15000 Profit 4.5 5 6 Polo T-shirt 4.5 7 Cutting (HOURS) Sewing (HOURS) Finishing (HOURS) RM 31 19 20 15.5 37 Basic T-shirt 24000 3.8 Table 2. Resource utilization and maximum value held in stock Resource utilized Maximum held value Fabric(gram) 3,71,25,000 Thread(meter) 2,56,21,830 Labor(RM) 10,01,000 Overheads(RM) 50,00,000 5,775 44,500 6,200 Table 3. Demand and profit table 288888 .02 Formulate the LP model for the above case study. .03 .02 .04 Round neck T-shirt Singlets 12000 26000 3.5 3 Sewing (hours) 35 15 16 .09 31 V neck T-shirt 11000 6.5 Finishing Time (hours) 288881 .03 .02 .03 .02 .04 Convert the LP model in (a) into simplex algorithm by using slack/surplus/artificial variables. Recommend an optimal product mix that maximizes company profits through the application of the Linear Programming method using Excel (Solver) software. Provide SOLVER Answer Report, Sensitivity Report, and Excel Sheet of your analysis.

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ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
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(d)
The company has some extra funds and is trying to increase the company's profit by
increasing the resource(s) constraints capacity. BASED ON THE EXCEL SOLVER REPORTS in (c)
propose and justify which constraint(s) the company should invest in to increase its profit.
Transcribed Image Text:(d) The company has some extra funds and is trying to increase the company's profit by increasing the resource(s) constraints capacity. BASED ON THE EXCEL SOLVER REPORTS in (c) propose and justify which constraint(s) the company should invest in to increase its profit.
This case study focuses on a medium-sized enterprise operating in the textile industry, specifically in
apparel manufacturing. The primary challenge identified in the manufacturing unit was the efficient
utilization of resources. The study outlined constraints related to various resources, including threads,
fabrics, human resources, overheads, stitching, cutting, and finishing time. Additionally, it examined
the production requirements for five products, namely Polo T-shirts, round neck T-shirts, basic T-
shirts, singlets, and v-neck T-shirts. The resources requirement for the products and their respective
maximum held value are as shown in Table 1 and Table 2 respectively. The demand and profit of the
products are tabulated in Table 3.
Table 1. Resource allocation product-wise
Products (T- shirts and
pants)
Polo T-shirt
Basic T-shirt
Round Neck T-shirt
Singlets
V neck T-shirt
(a)
(b)
(c)
Fabrics
gms
315
200
195
180
50
Thread
meters
215
105
142
105
190
Demand
Profit
Labor
RM
11
5
6
4.5
7
Polo T-shirt
15000
4.5
Fabric(gram)
Thread(meter)
Labor(RM)
Overhead Cutting
(hours)
.03
.02
.03
.02
.04
Table 2. Resource utilization and maximum value held in stock
Resource utilized Maximum held value
3,71,25,000
2,56,21,830
10,01,000
Overheads(RM) 50,00,000
Cutting(HOURS) 5,775
Sewing(HOURS) 44,500
Finishing (HOURS) 6,200
RM
31
19
20
15.5
37
Table 3. Demand and
profit table
Basic T-shirt Round neck T-shirt
24000
3.8
12000
3.5
Formulate the LP model for the above case study.
Sewing
(hours)
35
.15
16
.09
31
Singlets Vneck T-shirt
26000
11000
3
6.5
Finishing Time
(hours)
.03
.02
.03
.02
.04
Convert the LP model in (a) into simplex algorithm by using slack/surplus/artificial variables.
Recommend an optimal product mix that maximizes company profits through the application
of the Linear Programming method using Excel (Solver) software. Provide SOLVER Answer
Report, Sensitivity Report, and Excel Sheet of your analysis.
Transcribed Image Text:This case study focuses on a medium-sized enterprise operating in the textile industry, specifically in apparel manufacturing. The primary challenge identified in the manufacturing unit was the efficient utilization of resources. The study outlined constraints related to various resources, including threads, fabrics, human resources, overheads, stitching, cutting, and finishing time. Additionally, it examined the production requirements for five products, namely Polo T-shirts, round neck T-shirts, basic T- shirts, singlets, and v-neck T-shirts. The resources requirement for the products and their respective maximum held value are as shown in Table 1 and Table 2 respectively. The demand and profit of the products are tabulated in Table 3. Table 1. Resource allocation product-wise Products (T- shirts and pants) Polo T-shirt Basic T-shirt Round Neck T-shirt Singlets V neck T-shirt (a) (b) (c) Fabrics gms 315 200 195 180 50 Thread meters 215 105 142 105 190 Demand Profit Labor RM 11 5 6 4.5 7 Polo T-shirt 15000 4.5 Fabric(gram) Thread(meter) Labor(RM) Overhead Cutting (hours) .03 .02 .03 .02 .04 Table 2. Resource utilization and maximum value held in stock Resource utilized Maximum held value 3,71,25,000 2,56,21,830 10,01,000 Overheads(RM) 50,00,000 Cutting(HOURS) 5,775 Sewing(HOURS) 44,500 Finishing (HOURS) 6,200 RM 31 19 20 15.5 37 Table 3. Demand and profit table Basic T-shirt Round neck T-shirt 24000 3.8 12000 3.5 Formulate the LP model for the above case study. Sewing (hours) 35 .15 16 .09 31 Singlets Vneck T-shirt 26000 11000 3 6.5 Finishing Time (hours) .03 .02 .03 .02 .04 Convert the LP model in (a) into simplex algorithm by using slack/surplus/artificial variables. Recommend an optimal product mix that maximizes company profits through the application of the Linear Programming method using Excel (Solver) software. Provide SOLVER Answer Report, Sensitivity Report, and Excel Sheet of your analysis.
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