Search published articles


Showing 4 results for Zandi
A Combined of Path Analysis-MCDM Approaches to Evaluation of Leagile Suppliers
Mehdi Ajalli, Narges Soleiman Ekhtiyari, Peyman Zandi,
Volume 0, Issue 0 (IJIEPR 2024)
Abstract
This study aims to evaluate the traditional, lean and agility criteria that are effective in evaluating the performance of suppliers and ranking them with the combined approach Path Analysis (PA), SWARA (Stepwise Weight Assessment Ratio Analysis) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) in Automation Industry. The research method is applied from the perspective of the objective and is descriptive-survey in terms of data collection. For this purpose, the sub-criteria were first extracted by reviewing the literature. Then, using PA approach, the effectiveness of these criteria in automation industry was investigated. The statistical population in this section includes 60 experts and managers of the industry, which due to the smal size, all members of the community were considered as a sample. The PA output showed that after evaluating twentycriteria, seventeen criteria were finally approved by the experts. Then, using the SWARA and the opinions of experts, the criteria importance and weight was calculated. The results showed that the criterion of "agility" was in the first place, "lean" was in the second place and "traditional" was in the last place. Then, considering the importance of ranking of lean and agile suppliers in the industry, using TOPSIS and based on the weight of the criteria, six suppliers were evaluated by experts. The results showed that the fourth supplier was ranked first. The first supplier was also ranked sixth. Finally, a sensitivity analysis of the ranking was conducted. Overall, the results show a high degree of stability of the rankings according to the method used. Thus, the model proposed in this study provides a suitable framework for evaluating industry suppliers based on key criteria of traditional, lean and agility. 

A Nadir Compromise Programming for Supplier Selection Problem under Uncertainty
Mostafa Ekhtiari, Mostafa Zandieh, Akbar Alem-Tabriz, Masood Rabieh,
Volume 29, Issue 1 (IJIEPR 2018)
Abstract

Supplier selection is one of the influential decisions for effectiveness of purchasing and manufacturing policies under competitive conditions of the market. Regarding the fact that decision makers (DMs) consider conflicting criteria for selecting suppliers, multiple-criteria programming is a promising approach to solve the problem. This paper develops a nadir compromise programming (NCP) model for decision-making under uncertainty on the selection of suppliers within the framework of binary programming. Depending on the condition of uncertainty, three statuses are taken into consideration and a solution approach is proposed for each status. A pure deterministic NCP model is presented for solving the problem in white condition (certainty of data) and a solution approach resulted from combination of NCP and stochastic programming is introduced to solve the model in black (uncertainty of data) situation. The paper also proposes a NCP model under certainty and uncertainty for solving problem under grey (a combination of certainty and uncertainty of data) conditions. The proposed approaches are illustrated for a real problem in steel industry with multiple objectives. Also, a simulation approach has been designed in order to examine the results obtained and also verifies capabilities of the proposed model.


Effect of Revenue Sharing Contracts in the Points Supply Chain of Coalition Loyalty Programs with Stochastic Advertising-Dependent Demand
Shahla Zandi, Reza Samizadeh, Maryam Esmaeili,
Volume 33, Issue 4 (IJIEPR 2022)
Abstract
A coalition loyalty program (CLP) is a business strategy employed by for-profit companies to increase or retain their customers. One of the operational challenges of these programs is how to choose the mechanism of coordination between business partners. This paper examines the role of revenue sharing contracts in the loyalty points supply chain of a CLP with stochastic advertising-dependent demand where the program operator (called the host) sells loyalty points to the partners of the program. The purpose of the study is to examine the effect of this coordination mechanism on the decisions and profits of the members of the chain using the Stackelberg game method and determine whether the presence of revenue sharing contracts benefits the chain members when the advertising is done by the host and when the advertising cost is shared between the host and its partners. The results show that when the host gives bonus points to end customers (advertising), revenue sharing contracts become a powerful incentive for the profitability of the host and its partners. The findings provide new insights into the management of CLPs, which can benefit business decision-makers.
Revenue Sharing Contracts in Coalition Loyalty Reward Supply Chain Planning: A Stochastic Programming Approach
Shahla Zandi, Reza Samizadeh, Maryam Esmaeili,
Volume 34, Issue 3 (IJIEPR 2023)
Abstract
A coalition loyalty program (CLP) is a business strategy adopted by companies to increase and retain their customers. An operational challenge in this regard is to determine the coordination mechanism with business partners. This study investigated the role of revenue-sharing contracts (RSCs) considering customer satisfaction in coalition loyalty reward supply chain planning. A two-stage stochastic programming approach was considered for the solution considering the demand uncertainty. We aimed to investigate the impact of RSCs on the decision-making and profitability of the host firm of this supply chain taking into account the maximization of the profit coming from the CLP compared to the more common wholesale price contract (WPC). After the model was solved, computational experiments were performed to evaluate and compare the effects of RSCs and WPCs on the performance of the loyalty program (LP). The results revealed that RSC is an effective incentive to increase the host’s profit and reduce its cost. These findings add new insights to the management literature, which can be used by business decision makers.
 
Page 1 from 1