eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
188
199
10.22034/2019.3.1
2788
مقاله پژوهشی
Optimizing the Safety Stock with Guaranteed Service Model in Reverse Logistics Considering Internal and External Returns
Kazem Farahinejad
kfn1990@gmail.com
1
Mohammad Reza Gholamian
gholamian@iust.ac.ir
2
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
In this paper, a guaranteed service model (GSM) is considered in a general supply chain with the releasing of the service time constraint. For this purpose, a bi-objective model is developed containing minimization of both service time and the holding cost of safety stock. Also, in addition to considering the return of items from inside of the chain, the returns from outside of the chain are considered to carry out remanufacturing, refurbishing, and repairing processes. The model is solved in a real-world case of the electronic product supply chain and the Pareto solution set is obtained to show the changes in the holding cost of safety stock based on the maximum time for the different services offered to customers.
http://www.ijsom.com/article_2788_5af681d6c653f7e922daceee1a8e2542.pdf
Guaranteed Service Model
Safety Stock
Inventory Control
Reverse logistics
Lead Time
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
200
212
10.22034/2019.3.2
2790
مقاله پژوهشی
Stochastic Maximum Flow Network Interdiction with Endogenous Uncertainty
Somayeh Sadeghi
somsad@yahoo.com
1
Abbas Seifi
aseifi@aut.ac.ir
2
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
We describe the two-stage maximum flow network interdiction problem under endogenous stochastic interdiction. Our model consists of two agents playing a Stackelberg game. A smuggler who wishes to maximize the expected flow of some illegal commodities that can be transmitted between a source and a sink without being detected. On the other hand, an attacker tries to minimize the flow of drugs by installing some detectors or adding some security controls on critical arcs to increase the probability of detection. We consider a stochastic program under endogenous uncertainty in which the interdictor’s decisions can alter the probability of detection. The problem can be formulated as a bilevel program in which the attacker, having a limited budget, chooses critical arcs to install detectors and enhances the interdiction probability of those arcs. The bottom level problem is a two-stage problem to maximize the flow in the network by smugglers. A bilevel decomposition algorithm has been applied to solve the problem by adding some Benders’ cuts iteratively. We applied a successive method, to deal with non-linearity arising in the probability measure of each path. A case study of drug trafficking network is applied to recognize which countries have the most significant effect in interdicting the drug trafficking network. The police can concentrate on those areas to decrease drug flow. Our results demonstrate that if the critical arcs are chosen wisely to enhance and the probability of opium seizers decrease slightly, a significant reduction in the expected total flow of drugs can be achieved.
http://www.ijsom.com/article_2790_531266d14d1468f89bec2883cc9f608b.pdf
Network interdiction
Maximum flow
Endogenous uncertainty
Benders’ decomposition
Stackelberg game
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
213
230
10.22034/2019.3.3
2791
مقاله پژوهشی
A Multi-Objectives Weighting Genetic Algorithm for Scheduling Resource-Constraint Project Problem in the Presence of Resource Uncertainty
Aidin Delgoshaei
delgoshaei.aidin@gmail.com
1
Aisa Aram
aisa.khoshniat@gmail.com
2
Vahid Mantegh
vahid-zaremantegh@gmail.com
3
Sepehr Hanjani
aghasepi@gmail.com
4
Amir Hossein Nasiri
amirhosein.nsr@yahoo.com
5
Fatemeh Shirmohamadi
fateme.shirmohamadi@gmail.com
6
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Department of Mechanical and Manufacturing Engineering, Faculty of Engineering, University of Putra, Serdang, Malaysia
Scarce resources may cause delay in completion of a project on time. In this research, a multi-objective decision making model is developed for scheduling multi-mode resource constraint scheduling problem in the presence of uncertain resources. The objectives are profit, execution cost and completion time. To develop this idea, a multi-objective non-linear mixed integer programming model is developed where resource availability is not deterministic and expressed by triangular probability function. In continue a multi-objective weighting genetic algorithm is proposed (MOWGA) which is flexible enough to be used in real projects. To verify the performance of the proposed method, a number of experiments are solved and results are analyzed. The outcomes, indicated that while resource uncertainty increases, higher complexity in schedules is observed. It is also found that optimizing one objective function is not necessarily resulted in optimizing the others. The MOWGA is then successfully applied for a project with real data.
http://www.ijsom.com/article_2791_ca0e6881d0aeffbb30deac41cbcc922e.pdf
Project Planning
Multi-Mode Scheduling
Multi-Objective Weighting Genetic Algorithm
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
231
244
10.22034/2019.3.4
2792
Towards Identification of the Hierarchical Link between Industry 4.0, Smart Manufacturing and Smart Factory: Concept Cross-Comparison and Synthesis
Sarah El Hamdi
sarah.elhamdi@uir.ac.ma
1
Mustapha Oudani
mustapha.oudani@uir.ac.ma
2
Abdellah Abouabdellah
a.abouabdellah2013@gmail.com
3
a Laboratory of Information Technology and Communications, International University of Rabat, Sala Al Jadida, Morocco
a Laboratory of Information Technology and Communications, International University of Rabat, Sala Al Jadida, Morocco
Laboratory Engineering Science, MOSIL Team, ENSA Kénitra, Morocco
The industrial sector has historically been linked to the prosperity, development and evolution of nations, hence to the genesis of the philosophy of competitiveness, mainly at the manufacturing level. An environment is in perpetual adaptation to trends, and the best example is the change of industrial ideology, as was the case in the past. The global society is facing the same challenges. Customer demands are becoming more and more specific and personalized, which means that factories have to innovate in terms of production and management of mudas in an eco-environmental context closely followed by several global organizations. Information and communication technologies have become the joker to master in order to stay in a market that is global and very competitive. At the heart of this evolution is the emergence of the Industry 4.0 concept, which includes a key element that is intelligent production in factories of the future that can meet different obstacles. The purpose of the current research on one hand is to highlight the relation between I4.0, smart manufacturing and smart factory, and on the other hand to present a synthesis of Industry 4.0 national initiatives linked to the fourth industrial revolution worldwide.
http://www.ijsom.com/article_2792_5dfe591422b8974e42e49a41e6f525ed.pdf
Industry 4.0
Smart manufacturing
Smart factory
Challenges
Initiative
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
245
263
10.22034/2019.3.5
2793
مقاله پژوهشی
Pricing, Service and Discount Policies for Substitutable Products in a Supply Chain with the Game Theoretical Approach
Hashem Asadi
hashem.asadi@gmail.com
1
Seyed Jafar Sadjadi
sjsadjadi@iust.ac.ir
2
Ramin Sadeghian
ramin_sadeghian@yahoo.com
3
Graduate Center of Payame Noor University, Tehran, Iran
School of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
Graduate Center of Payame Noor University, Tehran, Iran
This paper examines the impacts of three factors include the service, price, and discount on the supply chain’s profit. We consider a supply chain, including one traditional retailer and two manufacturers. By using the game-theoretic approach, we derive optimal solutions and analyze competition between members under two scenarios: (1) the retailer buys the products from two manufacturers without price discount contracts, i.e. no products are sold with price discount contract. (2) The retailer buys the product from one of the manufacturers with price discount contracts. We find that the price discount rate and the service level are very effective on the demand and profit of supply chain members and determining the appropriate discount rate is very important. The results show that increasing the service provided by the retailer does not necessarily increase the profit of the manufacturer and he should set an appropriate discount rate to increase his profit. Our work contributes to three aspects: (1) joint and simultaneous examination of competition in the supply chain under the three factors of price discount, price, and service level; (2) examination of competition in the supply chain where the retailer and a manufacturer provide free service to consumers; and (3) analysis and comparison of the numerical example results in the two above scenarios according to the sensitivity analysis of various parameters.
http://www.ijsom.com/article_2793_d8238493afc26800265ba5e0fa54c169.pdf
Supply chain
Discount
Service level
Competition
Price
Game theory
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
264
275
10.22034/2019.3.6
2794
مقاله پژوهشی
Innovative Study of EPQ Model with Time Induced Demand under Decline Release Policy
Rakesh Prakash Tripathi
tripathi_rp0231@rediffmail.com
1
Sachin Mishra
sachinmishra427@gmail.com
2
Graphic Era (Deemed to be University), Dehradun, India
Department of Applied Sciences and Humanities, KNIT, Sultanpur (UP) India
In this paper production inventory (EPQ) model by means of incorporate cost diminution release strategy is considered. Production and demand both are simultaneous process in the real world Production and demand rate are considered to be time- linked. Two models (i) production inventory and (ii) manufacture inventory model in the midst of amalgamating cost decline delivery procedure are discussed. Mathematical formulations are provided to find optimal solution for both models. The objective of this study is to obtain optimal order measure to examine the outcome of lessening for cost release plan in the EPQ model. Best possible fabrication lot size model is developed that diminishes total cost. The sensitivity analysis is discussed for variation of different parameters.
http://www.ijsom.com/article_2794_c486b43ec1eada9f0790d6bf2084b919.pdf
Production
Demand
Inventory
Lot- size
Reduction
Total cost
eng
Kharazmi University
International Journal of Supply and Operations Management
23831359
23832525
2019-08-01
6
3
276
281
10.22034/2019.3.7
2789
An Integrated MC-HFLTS&MAIRCA Method and Application in Cargo Distribution Companies
Tuba Adar
tuba.adar@atauni.edu.tr
1
Elif Kilic Delice
elif.kdelice@atauni.edu.tr
2
Department of Industrial Engineering, University of Ataturk Erzurum, Turkey
Department of Industrial Engineering, University of Ataturk Erzurum, Turkey
Cargo transportation is part of the logistic sectors. Both service quality and customer satisfaction are very important for companies which provide cargo transportation services. This study aims to evaluate cargo companies via DMs (customers) preferences in Erzurum. Evaluating cargo companies is the multi-criteria decision making (MCDM) problem and DMs often use uncertain linguistic terms to express their assessments because DMs hesitate among different linguistic terms to provide their preferences. In this study, an integrated MC-HFLTS&MAIRCA (Multi-criteria Hesitant Fuzzy Linguistic Term Set and Multi Attribute Ideal-Real Comparative Analysis) method is used for evaluating and selecting the best cargo company. From this point of view, alternatives, criteria and DMs are defined and the integrated method is applied for the selection of the best cargo company. In order to test the results, MABAC, TOPSIS and VIKOR methods were used.
http://www.ijsom.com/article_2789_02d911c6cbaa74b04d9932e8812942f3.pdf
Cargo distribution company
MAIRCA
MC-HFLTS
Logistic