DETERMINATION OF EOQ OF MULTI-ITEM INVENTORY PROBLEMS THROUGH NONLINEAR GOAL PROGRAMMING WITH PENALTY FUNCTION

2005 ◽  
Vol 22 (04) ◽  
pp. 539-553 ◽  
Author(s):  
S. PANDA ◽  
K. BANERJEE ◽  
M. BASU
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Penalty Function ◽  
Penalty Functions ◽  
Economic Order Quantity ◽  
Programming Formulation ◽  
Order Quantity ◽  
Programming Technique

This paper proposes a nonlinear goal programming technique for obtaining economic order quantity of multi-item inventory problems. In the decision-making context, penalty functions are incorporated in the goal programming formulation. The proposed technique has been demonstrated via a case study.

scholarly journals Aplikasi Penentuan Tunjangan Kinerja dan Rekomendasi Pegawai Universitas Singaperbangsa Karawang

2019 ◽  
Vol 3 (3) ◽  
pp. 191
Author(s):  
Aldi Jakaria ◽  
Ade Andri Hendriadi ◽  
Nina Sulistiyowati
Keyword(s):  
Decision Making ◽  
Employee Performance ◽  
Multiple Attribute Decision Making ◽  
Development Life Cycle ◽  
Multiple Attribute ◽  
Waterfall Model ◽  
Definition Of ◽  
The University

Universitas Singaperbangsa Karawang does not yet have a system and criteria for assessing the performance of non-P3K employees. Currently the staffing office at the University of Singaperbangsa Karawang does not yet have a way to determine how an employee is entitled to a Performance Allowance. Based on these facts, a website-based employee performance allowance information system will be created with a case study of the staff of the singaperbangsa karawang university. The system to be built includes the definition of criteria, data processing to become the best employee recommendation / promotion and determination of Employee Performance Allowances. The methodology used is software engineering and uses the Software Development Life Cycle (SDLC) method with the waterfall model because it is in accordance with the research that will be carried out with a relatively short stage of system usage. The calculation process is done by using the method of fuzzy multiple attribute decision making with weighted product because this method determines the weight value for each attribute, then proceed with a ranking process that will select the best alternative from a number of alternatives. The system created can provide information about the amount of employee performance benefits and recommendations for promotion for employees. After evaluating the user, this system gets a response that is easy to understand and easy to understand on each menu on the system. Looking at the benefits of this system is useful when it will provide performance allowances to employees and at the time will determine the employees who are reconditioned for promotions. The design of employee recommendation decision support systems using fuzzy multiple attribute decision making is done by completing the weighted product to produce alternatives after verification with the existing data getting 60% accuracy.

scholarly journals ANALISIS PENERAPAN ECONOMIC ORDER QUANTITY (EOQ) DI PABRIK GULA MADUKISMO BANTUL

2018 ◽  
Vol 32 (2) ◽  
pp. 126
Author(s):  
Risa Rahmawati ◽  
Endang Siti Rahayu ◽  
Susi Wuri Ani
Keyword(s):  
Data Analysis ◽  
Production Process ◽  
Sugar Cane ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Basic Method ◽  
Order Quantity

<em><span>The purpose of this research to analyze the result of Economic Order Quantity in Madukismo Sugar Manufacture during the year of 2013-2015. The basic method used in this research was analytical, descriptive with case study technique. Data analysis used Economic Order Quantity (EOQ). The results of the study showed that during 2013-2015 the order quantity according to Madukismo Sugar Manufacture policy was 29.377 Quintal with the frequency of ordering 192 times, 30.328.46 Quintal with the frequency of ordering 168 times, and 31.883,06 Quintal with the frequency of ordering 142 times, sequentially. Whereas the result of Economic Order Quantity (EOQ) calculation during 2013-2015 where 52,916.47 Quintal with the frequency of ordering 107 times, 45,980.57 Quintal with a frequency 111 times, and 49,135.20 Quintal with a frequency 92 times, consecutively. The result of Economic Order Quantity calculation to intent filled up the needs of sugar cane and to maintain the sustainability of the production process. The effort to provide Economic Order Quantity of sugarcane,Madukismo Sugar Manufacture managed for expanding of sugarcane planting area. So that, Madukismo Sugar Manufacture could run the production process properly and sustainability.</span></em><br /><em></em>

A Generalized Economic Order Quantity Inventory Model with Shortage: Case Study of a Poultry Farmer

2018 ◽  
Vol 44 (3) ◽  
pp. 2653-2663 ◽  
Author(s):  
Amir Hossein Nobil ◽  
Amir Hosein Afshar Sedigh ◽  
Leopoldo Eduardo Cárdenas-Barrón
Keyword(s):  
Inventory Model ◽  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity

scholarly journals A Fuzzy Group Decision Making for a Rail-Road Transshipment Yard Micro Locaton Problem

2018 ◽  
Vol 235 ◽  
pp. 00019 ◽  
Author(s):  
Ivan Belošević ◽  
Sanjin Milinković ◽  
Peter Marton ◽  
Slavko Vesković ◽  
Miloš Ivić
Keyword(s):  
Decision Making ◽  
Location Problem ◽  
Fuzzy Numbers ◽  
Group Decision ◽  
Practical Importance ◽  
Multi Criteria Decision Making ◽  
Intermodal Transportation ◽  
Programming Technique ◽  
Fuzzy Group Decision Making

Rail-road transhipment yards serve as interchange points between rail and road providing transhipment of loading units. These yards are of great importance for smooth functioning not only of railways but also of the whole intermodal transportation chains. The problem of choosing location of railway facilities, such as yards and depots, has great practical importance and is widely considered in the literature. In this paper, we present a multi criteria decision making (MCMD) model for selecting the most suitable micro location of a rail-road transhipment yard. The developed MCMD model is based on combining a compromise programming technique with the theory of fuzzy numbers. This approach was chosen to solve the considered location problem due to the specific decision-making environment that reflects in the presence of non-commensurable and conflicting criteria. As a case study we analysed several alternatives for locating rail-road transhipment facilities in the area of the rail freight yard in Vršac. The results confirm validity and usefulness of this approach.

Multiple-criteria fuzzy group decision-making with multi-choice goal programming for supplier selection: A case study

2019 ◽  
Vol 11 (03) ◽  
pp. 1950029
Author(s):  
Ashoke Kumar Bera ◽  
Dipak Kumar Jana ◽  
Debamalya Banerjee ◽  
Titas Nandy
Keyword(s):  
Decision Making ◽  
Goal Programming ◽  
Supplier Selection ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Multiple Criteria ◽  
Linguistic Variables ◽  
Manufacturing Organization ◽  
Fuzzy Group Decision Making

In today’s highly turbulent and competitive environment, the success of the organization depends on the performance of its suppliers. However, supplier selection problems are complex as they involve a large number of criteria and, frequently, some of the criteria cannot be evaluated precisely. Moreover, fluctuations of supplier performances and unknown information always exist in real-world decision-making. It is a complex multiple-criteria decision-making (MCDM) problem as it involves a trade-off among various criteria with vagueness and imprecision and also involves a group of experts with diverse opinion. Therefore, to make more practical decisions, this paper is intended to propose an integrated technique for order preference by similarity to ideal solution (TOPSIS) in fuzzy environment with multi-choice goal programming (MCGP) to handle the supplier assessment and order allocation for a battery manufacturing organization. Using linguistic variables, the decision-makers assess the rating of suppliers as well as the importance of various factors. Linguistic variables are expressed in trapezoidal fuzzy numbers (TrFN). Fuzzy-TOPSIS method is proposed to obtain the rank of suppliers and MCGP method is used to allocate suitable orders to the selected suppliers. A case study is implemented to find the applicability and validity of the proposed model. Finally, sensitivity analysis is performed to observe the effect of weights of criteria on supplier evaluation problem.

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