Development of a goal programming model based on response surface and analytic hierarchy process approaches for laser cutting process optimization of St-52 steel plates

2021 ◽  
Author(s):  
Mustafa Yurdakul ◽  
Taha Tukel ◽  
Yusuf Tansel Ic
Keyword(s):  
Analytic Hierarchy Process ◽  
Response Surface ◽  
Process Optimization ◽  
Goal Programming ◽  
Laser Cutting ◽  
Programming Model ◽  
Steel Plates ◽  
Analytic Hierarchy ◽  
Goal Programming Model ◽  
Hierarchy Process

WEIGHTED PRIORITIZATION MODELS IN THE FUZZY ANALYTIC HIERARCHY PROCESS

2011 ◽  
Vol 10 (04) ◽  
pp. 681-694 ◽  
Author(s):  
LUDMIL MIKHAILOV ◽  
HOSEIN DIDEHKHANI ◽  
SOHEIL SADI-NEZHAD
Keyword(s):  
Analytic Hierarchy Process ◽  
Goal Programming ◽  
Programming Model ◽  
Fuzzy Analytic Hierarchy Process ◽  
Linear Programs ◽  
Analytic Hierarchy ◽  
Goal Programming Model ◽  
Ranking Of Alternatives ◽  
Fuzzy Goal ◽  
Hierarchy Process

The paper deals with the group prioritization problem in the fuzzy analytic hierarchy process. We extend the fuzzy preference programming method to fuzzy group prioritization by introducing important weights of decision-makers (DMs). The modified prioritization problem is represented as a weighted fuzzy goal programming model. Additionally, we represent the uncertain DMs' importance weights as fuzzy numbers and modify the goal programming model by a possibilistic approach. Both proposed models transform the initial prioritization problems with fuzzy or crisp important weights into equivalent crisp linear programs. Unlike the known fuzzy prioritization methods, the proposed approach does not require an additional defuzzification procedure for final ranking of alternatives and can deal with incomplete set of comparison judgments.

scholarly journals INTEGRASI ANALYTIC HIERARCHY PROCESS DAN GOAL PROGRAMMING DALAM PEMILIHAN PEMASOK

2014 ◽  
Vol 14 (2) ◽  
pp. 192
Author(s):  
Annisa Kesy Garside ◽  
Martina Juan
Keyword(s):  
Analytic Hierarchy Process ◽  
Goal Programming ◽  
Supplier Selection ◽  
Programming Model ◽  
Selection Process ◽  
Raw Material ◽  
Objective Functions ◽  
Analytic Hierarchy ◽  
Goal Programming Model ◽  
Hierarchy Process

Annisa Kesy Garside dan Martina JuanKristiandyRISTIANDYJurusan Teknik Industri, Universitas Muhammadiyah MalangJl. Raya Tlogomas 246 Malang 65144 Jawa TimurLaman: [email protected], [email protected] pemasok menjadi pertimbangan penting untuk meningkatkan efisiensi bagian pengadaan bahan baku mengingat biaya material dapat mencapai 70% dari biaya produk. Pemilihan pemasok seringkali merupakan permasalahan multi kriteria yang melibatkan faktor kualitatif dan kuantitatif. UD Virgo Snack Bersinar merupakan perusahaan pembuat keripik buah-buahan yang berlokasi di Malang. Perusahaan sering mengalami kekurangan pasokan buah nangka yang mengganggu jalannya proses produksi, sehingga perlu dilakukan pemilihan pemasok buah nangka secara selektif dengan mempertimbangkan kriteria-kriteria yang ditetapkan oleh perusahaan dan pengalokasian pesanan kepada supplier terpilih. Pada penelitian ini akan mengintegrasikan bobot pemasok dari hasil Analytic Hierarchy Process dengan model � PreemptiveGoalProgramminguntukmenentukanprioritasdankuantitaspesananPreemptive Goal Programming untukmenentukanprioritasdankuantitaspesanan untuk menentukan prioritas dan kuantitas pesanan kepada pemasok. Model diformulasikan untuk mencapai dua fungsi tujuan yaitu maksimasi total nilai pembelian dan minimasi total biaya pembelian serta mempertimbangkan batasan kapasitas pemasok dan pemenuhan kebutuhan buah nangka. Dari hasil running model goal programming diperoleh supplier dari Semarang akan memasok buah nangka sebanyak 7,5 ton pada periode November 2013 – Januari 2014 dan kekurangan pasokan untuk menutupi kebutuhan buah nangka dipasok oleh supplier dari Tajinan.Kata kunci: buah nangka, pemasok, bobot pemasok, goal programming, analytic hierarchy processABSTRACTConsidering that raw material cost could reach 70% of product cost, supplier selection process was become important consideration to improve the efficiency of procurement department. The supplier selection process was multi-criteria problem involving qualitative and quantitative factors. UD Virgo Bersinar was one of fruit chips manufacturer located in Malang. The company often experienced shortage of jackfruits which interrupt production process. Thus, it was necessary to choose its supplier by considering company’s criteria and order allocation of selected supplier. This research would integrate supplier weight from Analytic Hierarchy Process and Preemptive Goal Programming model to determine priority of supplier and order quantity to the supplier. The model was formulated to achieve two objective functions, namely maximizing total value of purchasing and minimizing total cost of purchasing, by considering capacity of supplier and fulfillment of jackfruit. By running goal programming model, it was concluded that supplier from Semarang would supply 7.5 ton of jackfruit in November 2013-Januari 2014 and deficiency of needs would be supplied by supplier from Tajinan.Keywords: jackfruit, supplier,supplier weight, goal programming, analytic hierarchy process

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

Evaluation of Electric Vehicles' Impacts and Rationalization of their Energy Sources' Distribution Based on Analytic Hierarchy Process and Multi-Objective Programming Model

2014 ◽  
Vol 707 ◽  
pp. 525-531
Author(s):  
Ze Ming Jiang ◽  
Cong Hou
Keyword(s):  
Analytic Hierarchy Process ◽  
Electric Vehicles ◽  
Programming Model ◽  
Key Factors ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Multi Objective Programming ◽  
Objective Programming ◽  
Hierarchy Process ◽  
Economic And Social Impacts

By using Analytic Hierarchy Process (AHP), a solution is given in different aspects to analyze the weight of the impacts of electric vehicles. The economic and social impacts are found out to be the key factors. When EV’s penetration rate reaches a certain level, the lowest cost, lowest harm degree to our environment and society, and maximum possibility are considered to avoid using un-renewable energy. In addition, multi-objective programming model is built to solve the problem of the amount and type of electricity generation needed that will produce the largest number of benefits.

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