scholarly journals Allocation of Maltodextrin Raw Material Orders by Fuzzy Analytic Network Process (FANP) and Goal Programming Methods (Study Case: PT. Neopangan Selaras Indonesia)

2020 ◽  
Vol 847 ◽  
pp. 012016
Author(s):  
R Magdalena ◽  
S P Dias ◽  
A P Ginting
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Raw Material ◽  
Network Process ◽  
Study Case ◽  
Fuzzy Analytic Network Process

Ứng dụng Fuzzy Analytic Network Process và Goal Programming trong lựa chọn nhà cung ứng xanh

2017 ◽  
Vol 50 ◽  
pp. 50
Author(s):  
Trần Thị Nhật Hồng ◽  
Trần Thị Mỹ Dung ◽  
Huỳnh Tấn Phong ◽  
Lê Thị Diễm Phương ◽  
Trương Hoàng Thơ
Keyword(s):  
Goal Programming ◽  
Analytic Network Process ◽  
Network Process ◽  
Fuzzy Analytic Network Process

scholarly journals ANALISIS PEMILIHAN SUPPLIER DAN PENENTUAN JUMLAH PEMBELIAN BAHAN BAKU DENGAN MENGGUNAKAN METODE ANALYTIC NETWORK PROCESS (ANP)

2021 ◽  
Vol 6 (2) ◽  
pp. 72
Author(s):  
Citra Indah Asmarawati ◽  
Sadiq Ardo Wibowo
Keyword(s):  
Goal Programming ◽  
Performance Indicators ◽  
Supplier Selection ◽  
Raw Materials ◽  
Analytic Network Process ◽  
Raw Material ◽  
Weight Calculation ◽  
Material Purchases ◽  
Network Process ◽  
Selection Of

PT. Guna Kemas Indah in determining the supplier of raw materials, but the existing criteria are not sufficient to meet the expected criteria. By using Analytical networking process (ANP) and goal programming in determining quality. In addition, it can also be seen how much raw material purchases are based on the selected supplier. Selection of suppliers is based on several criteria using vendor performance indicators, which are arranged based on sub-criteria. Where the existing subcriteria can influence each criterion. Based on the weight calculation for the criteria are success-quality (0.3868), cost (0.3668), delivery (0.1256), flexibility (0.0619), responsiveness (0.0586) so that 3 supplier candidates will be obtained.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

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