Application of goal programming model for allocating time and cost in project management: A case study from the company of construction SEROR

Yahia-Berrouiguet, A.; Tissourassi, Khadija

doi:10.2298/yjor131010010y

Cited by 16 publications

(10 citation statements)

References 9 publications

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“…Goal programming merupakan metode yang hampir serupa dengan metode simpleks namun memiliki perbedaan mendasar di mana goal programming memiliki lebih dari satu fungsi tujuan selain itu goal programming memiliki nilai target pada fungsi tujuannya (Yahia-Berrouiguet & Tissourassi, 2015).…”

Section: Landasan Teoriunclassified

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Optimasi Kapasitas Produksi Ukm Dengan Goal Programming

Sugianto

2020

JURNAL REKAYASA SISTEM INDUSTRI UPB

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UKM Jovelyn is a small medium enterprise (SME) that engaged in the field of bakery production. Until now, they produce cakes and cookies. They sell products throughout the Batam area which includes (Tiban market, aviari market, mitra market and puja bahari market), shops, school canteens and so on. The SME targets several things such as profit per month, number of hours worked, number of overtime hours, machine utilities, labor utilities and so forth. Until now, the SME has not been able to reach the targets because the UKM has not determined the production amount based on the appropriate calculation. The number of products made is determined only on an intuitive basis. Determination of the amount of production cannot be determined by the usual simplex method because the objective function in the usual simplex method contains a target. Problem solving is done by using goal programming. The results of the calculation analysis show that to achieve the optimal value, the SME must produce coconut root cookies, butter cookies, nastar cookies, snow princess cookies and peanut cookies respectively 11.89 kg, 22.43 kg, 24.96 kg , 1.97kg and 0 kg. Sensitivity analysis is carried out after there are changes in conditions that result in changes in the linear program matrix, so the number of products that must be made also changes which include coconut root cookies as much as 12.8 kg, as much as 16.91 kg of butter cookies, nastar cookies as much as 25.7 and the last is 3.39 kg of nut cookies which in the initial calculation, nut cookies were not produced. The sensitivity analysis is not done by recalculation but rather by modifying the matrix and completing iteration with primal dual.

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Section: Landasan Teoriunclassified

“…Goal programming digunakan untuk mengoptimalkan alokasi waktu dan biaya pada manajemen proyek. Metode penyelesaian goal programming dilakukan secara bertahap atau preemptive (Yahia-Berrouiguet & Tissourassi, 2015).…”

Section: Jurnal Rekayasa Sistem Industriunclassified

Optimasi Kapasitas Produksi Ukm Dengan Goal Programming

Sugianto

2020

JURNAL REKAYASA SISTEM INDUSTRI UPB

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“…They proposed the use of methods within the field of vector programming for a multi objective analysis of a tourist destination. Besides tourism, goal programming model is also developed in the other areas such as transportation (Miori, 2011), healthcare (Azaiez, 2005), education (Pan, 2009), manufacturing (Selen, 1986), business (Yahia-Berrouiguet, 2015) and so on.…”

Section: 20 Literature Reviewmentioning

confidence: 99%

Self-Drive Tourism Route in Terengganu: An Application of Goal Programming Model

Hashim

Ismail

2017

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This study presents a goal programming approach to determine the best self-drive tourism route in Terengganu. The goal programming was formulated based on the model of Traveling Salesman Problem (TSP). This study involved seven cities in Terengganu which can be connected by road network. The data of the tourist attractions for each city was used in this study. The model of self-drive tourism route was constructed so as to connect all these seven cities by minimizing the travel distance, minimizing accommodation costs and maximizing the total number of tourist attractions. To achieve the objectives of this study, we develop the goal programming model that considers three model structures with each of them consists three goal constraints which are subjected to four hard constraints. This model has been solved using LINGO12.0 software. The results obtained from each model structures will be compared in order to get the most optimum route for self-drive tourism. The result showed that the first model structure was suitable to be used because this model structure gave the optimum result compared to other model structures. It produced the minimum total traveling cost of RM967.70 compared to the model structure two of RM977.10 and model structure three of RM1233.10.

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“…Kliestik et al (2015), developed a unique GP model that management companies with numerous plans can use to implement a strategic goal. Yahia-Berrouiguet & Tissourassi (2015), proposed a goal-programming model for the allocation of Am. J. Multidis.…”

Section: Introductionmentioning

confidence: 99%

Nonpre-Emptive Integer Nonlinear Goal Programming Model for Multi-Item Inventory Problem: Case Study of a Car Retail Centre in Lagos State.

Ogunleye

Mogbojuri

Adeyeye

2022

Am. J. Multidis. Res. innov.

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Most of the real-world optimization problems involve multiple objectives with constraint resources. Retailers oftentimes anticipate demand, they stock, and maintain warehouses with different variety of products at high cost to meet prospecting customers' demand. In this paper, a Non-preemptive Integer Nonlinear Goal Programming (NINGP) model was developed for obtaining Economic Order Quantities (EOQ) of multi-item inventory problems that satisfy the multiple and conflicting objectives of the Decision Maker (DM). The particular case considered was that of a motor vehicle dealer who sells 10 brands of Tokunbo vehicles and wants to determine the EOQ for each brand such that the deviations from the aspiration level are minimized. Using LINGO 17.0 Software to solve the NINGP model, the EOQ allocated to each brand type from 1 through 10 are 2, 2, 5, 2, 2, 3 3, 3, 3, and 3 cars respectively. The optimal number of cars was 28 with the associated cost of ₦53,825,915. Compared to the estimated budget of ₦60,000,000, the NINGP approach was able to achieve a 10% (₦6,174,085) below budget. With proper modifications considering the associated constraints, related inventory problems can be solved using the NINGP model.

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Application of goal programming model for allocating time and cost in project management: A case study from the company of construction SEROR

Cited by 16 publications

References 9 publications

Optimasi Kapasitas Produksi Ukm Dengan Goal Programming

Optimasi Kapasitas Produksi Ukm Dengan Goal Programming

Self-Drive Tourism Route in Terengganu: An Application of Goal Programming Model

Nonpre-Emptive Integer Nonlinear Goal Programming Model for Multi-Item Inventory Problem: Case Study of a Car Retail Centre in Lagos State.

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