About
34
Publications
17,856
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
642
Citations
Introduction
Ehsan Shekarian is a Postdoctoral Researcher at the Industrial Engine unit, University of Oulu, working on the university's strategic research profile area called Inorganic Side Streams (InStreams). He is also a Guest Researcher at the Operations, Planning, Accounting, and Control (OPAC) group at Eindhoven University of Technology (TU/e). His interests include Circular Economy, Supply Chain Management, Closed-Loop Supply Chains, Operations Research, and Inventory Management and Optimization.
Additional affiliations
April 2019 - August 2019
March 2018 - March 2019
April 2014 - April 2017
Publications
Publications (34)
Sustainable business practices are those that allow companies to increase their profit while still considering the triple bottom line of sustainability, which involves economic, environmental, and social aspects. There are a lot of studies exploring various aspects of supply chain practices. However, there remains a gap for the proposal of a comple...
The integration of the concept of the circular economy (CE) within the supply chain is known as the circular supply chain (CSC). Although various articles have identified barriers to implementing CE, no comprehensive study has investigated the impacts of barriers focusing on CSC. This study includes a systematic literature review to contextualize t...
Due to economic and environmental advantages, transferring from linear systems into circular economies has been accelerated, especially in developed countries, which affects companies’ relations. Among different tools and methodologies, the closed-loop supply chain (CLSC) model as an established approach has shown its efficiency in reflecting these...
Closed-loop supply chains (CLSCs) are seen as one of the circular economy’s leading approaches for reducing our natural environment load. Many CLSC models require collaboration among different parties. Game theory (GT) offers a way to consider the profits of all parties in a CLSC, providing insight into the costs and benefits to the involved partie...
This paper provides a risk assessment framework to select shipping lanes for pharmaceutical products. The main categories of risks are determined through an algorithm based on yes/no decisions Based on the risk categories, a Failure Mode and Effects Analysis (FMEA) table is proposed for risk assessment of pharmaceutical product shipments and logist...
Closed-loop supply chain (CLSC) as one of the important configurations of the circular economy (CE) has received considerable attention in sustainability matters. It is composed of characteristics that, when identified, studied, and categorized, help not only to a better understanding of the current contributions in the literature but also lead to...
CLSCs in the literature consist of some characteristics that identifying, studying and
classifying these features help to formulate new models that do not exist. As there are lots
of research on the investigated area, we concentrate on the CLSC models that used the
game theory approach. Therefore, gathered works concern a game among the particip...
Poor quality control has become a major threat to medical laboratory services, especially in the developing countries. It has become necessary to assess and rank the quality of diagnostic services in medical laboratories using systematic approaches. The main aim of this research is to develop and apply a quantitative method in ranking medical labor...
Kindi and Sarker (Prod Plan Control 22(3):325–333, 2011) develop an inventory model with backlogging to determine the optimal ordering policies in response to a discount offer. In the paper, there are some technical errors in developing of the optimal ordering policies. This paper presents the correct mathematical expressions and the solution to th...
This paper presents an original integrated procedure to evaluate and select suppliers for purchasing decisions. The procedure exploits the quality function deployment approach to define the suppliers’ characteristics, coupled with the analytic network process to capture the interrelations among the selection criteria and integrated with a benefits,...
In this paper, a mixed integer linear programming model for the multi-item uncapacitated lot-sizing problem is presented. The considered factors for formulating the proposed model are the monthly demand of the selected product from the case study company, type of parts used in the product and their consumption coefficients based on the bill of mate...
The paper analyzes two different procurement strategies, i.e. single sourcing and double sourcing, for a buyer that adopts the economic order interval (EOI) reorder policy. The analysis consists of two steps. We start by developing a simulation model, which reproduces the two procurement strategies. In the single sourcing scenario, the buyer exploi...
Over the years since the advancement of inventory management and fuzzy set theories, a vast number of studies have been published to integrate these concepts. Nonetheless, no comprehensive and systematic literature review can be found that analyzed the studies in this research stream. It motivated us to conduct this survey as a systematic and compr...
Incorporation of quality and environmental concerns in production and inventory models has received considerable attention in the inventory management literature; however, researchers studied these topics mostly independently. Thus, it is required to jointly incorporate those two relevant aspects in a single research to support decisions, compare t...
Poor quality control has become a major threat to medical laboratory services, especially in the developing countries. It has become necessary to assess and rank the quality of diagnostic services in medical laboratories using systematic approaches. The main aim of this research is to develop and apply a quantitative method in ranking medical labor...
Due to the repetitive nature of inventory planning over the planning horizon, the operator in charge has to perform planning tasks repetitively, and consequently s/he becomes more familiar with the tasks over time. Familiarity with the tasks suggests that learning takes place in inventory planning. Even though the operator’s learning over time migh...
This paper extends an economic order quantity (EOQ) model for items with imperfect quality based on two different holding costs and learning considerations. This is one of the few attempts aiming at combining the EOQ model, learning theory, and fuzzy technique in solving an EOQ problem. In present research, a fuzzy model is developed in which both...
Inventory management under imprecise input parameters have recently led to a substantial number of studies. Researchers have mostly preferred using fuzzy set theory to formulate the impreciseness associated with the input parameters. While they mostly assume that adjusting fuzzy parameters depends on inventory operator's expertise, they neglect the...
Since the past century, when the first economic order quantity (EOQ) formula was introduced, many researchers have tried to develop and extend the first version to adapt with real world situations. One of these extensions is considering the inventory system in imprecise business and industrial environment. To do so, fuzzy set theory has fruitfully...
This paper develops a reverse inventory model where the recoverable manufacturing process is affected by the learning theory. We propose the inclusion of the fuzzy demand rate of the serviceable products and the fuzzy collection rate of the recoverable products from customers in the total cost function of the model. Two popular defuzzification meth...
While almost all studies on housing choice in the literature use econometric methods, the present paper applies the Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method as a multi-criteria decision-making (MCDM) method. The VIKOR introduces the multi-attribute ranking indices based on a particular measure of closeness to the ideal so...
This paper develops a lot size model for a single-stage production system producing defective items that need to be reworked. Because the rate of defectives and the demand rate are usually not known precisely in practice, we fuzzify both rates with the help of triangular fuzzy numbers. The fuzzified total cost function, which considers setup, inven...
This paper extends a recent work that investigated a single-stage production-inventory model with reworks and planned backorders by fuzzifying its input parameters. The graded mean integration representation (GMIR) method, a useful and effective defuzzification method, is employed to develop a fuzzified total inventory cost function of model of int...
Purpose
– The housing sector is one of the main sources of economic growth in both developing and developed countries. Although many methods for modeling house prices have been proposed, each has its own limitations. The present paper aims to propose gene expression programming (GEP) as a new approach for prediction of housing price.
Design/method...
Welfare analysis is a very important issue in the context of socio-economic. There is a huge literature about economic welfare and exist many conventional techniques and traditional methods that are used in almost all economic welfare studies. Regardless of the method used in welfare studies, the key element to promote the welfare of households in...
This paper studies housing choice under fuzzy circumstances. In this article, fuzzy distance method is employed for selection process. Methodology of housing choice with fuzzy distance approach is based on the minimizing fuzzy distance of features from desired amount under fuzzy condition. Meanwhile, in the discrete choice models, housing choice is...
This paper incorporates the impact of learning function and uncertain data concurrently on
an inventory model which manufacture imperfect quality item in a planning horizon that is ignored in
inventory control and production literature. Uncertainty is treated as fuzzy number and an integration
of fuzzy arithmetic operation, deffuzification method a...
Location selection of industrial units is very important task in industrial engineering. Each
industrial unit under construction has a set of location features. These features do not have equal
priority and importance. Also in many cases for making decision, accurate information about attributes
of location is not available. Considering a set of ch...
Projects
Project (1)
The aim of this special issue is to contribute to the exchange of progress and advancements in the state-of-the-art of fuzzy inventory management and control models, as well as the future directions in this area. We aim to collect the most recent outstanding theoretical and practical research to help and support academics and practitioners engaged in inventory management fields. The contributed papers will attempt to cover algorithms, methodologies and applications in mentioned areas to deal with practices, policies and strategies.
