scholarly journals Incorporating analytical hierarchy process and goal programming to design responsive and efficient supply chains

2020 ◽  
Vol 7 ◽  
pp. 100149 ◽  
Author(s):  
Raed Al-Husain ◽  
Reza Khorramshahgol
2017 ◽  
Vol 6 (4) ◽  
pp. 64
Author(s):  
Fitria Sarah ◽  
Dodi Devianto ◽  
Bukti Ginting

Abstrak. Dalam perindustrian hubungan antara produsen dan konsumen tidak bisadipisahkan dengan distributor karena distributor memiliki tugas menyalurkan produkyang dihasilkan produsen kepada konsumen. Jika peran distributor kurang optimal makaproses pendistribusian barang kepada konsumen pun kurang maksimal. Penelitian inibertujuan untuk menyelesaikan kasus pemilihan distributor dengan studi kasus di CVSinar Matahari Pariaman Sumatera Barat. Metode yang digunakan untuk permasalahanini yaitu metode Analytical Hierarchy Process untuk pembobotan dan metode Goal pro-gramming untuk optimasi. Kriteria dan alternatif distributor ditentukan oleh CV SinarMatahari dimana terdapat empat kriteria dan lima alternatif distributor dengan bobotkriteria Permodalan (0.066), Kelayakan Gudang (0.548), Armada Pengiriman (0.151)dan Tenaga Kerja (0.236) dengan nilai Consistency Ratio antarkriteria dan semua al-ternatif 0.1 . Dari lima alternatif pilihan tersebut diperoleh 1 distributor yang palingdirekomendasikan yaitu Kandidat 3 disusul dengan prioritas rekomendasi distributorlainnya yaitu Kandidat 4, 2, 1 dan 5.Kata Kunci: Analytical hierarchy process, distributor, Goal programming


Processes ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. 1288
Author(s):  
Ilknur Karacan ◽  
Ozlem Senvar ◽  
Ozlem Arslan ◽  
Yasemin Ekmekçi ◽  
Serol Bulkan

Chickpea (Cicer arietinum L.) is a quite high nutrient and widespread legume that is consumed globally. Similar to many plants, chickpea is sensitive to environmental stresses. The major goal of the breeders is to achieve the most tolerant cultivars. This study aims to determine the tolerance level of chickpea cultivars against cold and drought stresses. The cultivars in the scope of this study are the ones that are officially identified and grown in Turkey. Ranking alternatives according to multiple criteria is difficult and requires a systematic approach. Thus, a coherent multi criteria decision making (MCDM) methodology is proposed in order to ease the ranking process. The methodology includes integration of intuitionistic fuzzy analytical hierarchy process (IF-AHP) with group decision making (GDM) and goal programming (GP). This integration presents a robust ranking according to criteria that are appraised by talented experts. Applying the methodology to the data, results in the order of chickpea cultivars with regard to their cumulative tolerance to cold and drought stresses. Diyar 95 spearheads this list with its utmost performance. The main contribution of this study is the proposition of the powerful MCDM approach with systematic procedure for the ranking process of cultivars. The proposed methodology has a generic structure that can be applied to various stress problems for different plants.


2017 ◽  
Vol 9 (3) ◽  
pp. 1 ◽  
Author(s):  
Hossein Jamshidi

The Goal Programming (GP) is one of the many models which have been developed to deal with the multiple objectives decision-making problems. This model allows taking into account, simultaneously, many objectives while the decision-maker is seeking the best solution from among a set of feasible solutions. At first, the aim of this study is to compare the objectives of the decision maker based on the Analytical Hierarchy Process (AHP) and to rank the objectives according to the AHP process and once the objectives are set then apply the GP to the facility allocation in a real estate rental property.  The objective of decision maker is not only to maximize profit rather the decision maker has multiple objective to achieve. The methodology presented in this study can help the decision maker to formulate viable location strategies in the volatile and complex facility allocation environment. This is an empirical study applied to a local business developer utilizing multi objective decision analysis tools.


2019 ◽  
Vol 11 (3) ◽  
pp. 301-312 ◽  
Author(s):  
Monica De Castro-Pardo ◽  
Concepcion De la Fuente-Cabrero ◽  
Pilar Laguna-Sanchez ◽  
Fernando Perez-Rodriguez

The Analytical Hierarchy Process is a very common method used in Multi-Criteria Decision Making (MCDM) to analyze participative assessments. However, due to the qualitative nature of this methodology, a high percentage of inconsistencies need to be addressed when analyzing user preferences. This work analyzes the efficiency of the Goal Programming model in order to reduce inconsistencies with pairwise comparisons when working with inexpert participants and time limitations. A case study has been carried out that assesses online courses in higher education with the Analytical Hierarchy Process in order to understand the usefulness and feasibility of the method. Evaluation of four e-learning tools (collaboration tools, content tools, tutorial sessions and evaluation tools) used in an online business degree were collected from 72 students through a ‘Saaty-type’ survey, and the model was applied to improve the consistency of these results. This model has been able to minimize the inconsistencies of individual preferences while avoiding the loss of primary information.


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