2021-01-22T12:21:55+03:30
http://ijiepr.iust.ac.ir/browse.php?mag_id=26&slc_lang=en&sid=1
26-316
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
Designing a Single Stage Acceptance Sampling Plan Based on the Control Threshold Poli
Mohammad Saber
FallahNezhad
fallahnezhad@yazduni.ac.ir
Hasan
Hosseini Nasab
In this research, a new control policy for the acceptance sampling problem is introduced. Decision is made based on the number of defectives items in an inspected batch. The objective of the model is to find a constant control level that minimizes the total costs, including the cost of rejecting the batch, the cost of inspection and the cost of defective items. The optimization is performed by approximating the negative binomial distribution with Poisson distribution and using the properties of binomial distribution. A solution method along with numerical demonstration on the application of the proposed methodology is presented. Furthermore, the results of sensitivity analysis show that the proposed method needs a large sample size .
Quality Control
Acceptance Sampling Model
Control Threshold Policy
2011
9
01
143
150
http://ijiepr.iust.ac.ir/article-1-316-en.pdf
26-317
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
An Integrated Queuing Model for Site Selection and Inventory Storage Planning of a Distribution Center with Customer Loss Consideration
E.
Teimoury
Teimoury@iust.ac.ir
I.G.
Khondabi
M.
Fathi
Discrete facility location, Distribution center, Logistics, Inventory policy, Queueing theory, Markov processes, The distribution center location problem is a crucial question for logistics decision makers. The optimization of these decisions needs careful attention to the fixed facility costs, inventory costs, transportation costs and customer responsiveness. In this paper we study the location selection of a distribution center which satisfies demands with a M/M/1 finite queueing system plus balking and reneging. The distribution center uses one for one inventory policy, where each arrival demand orders a unit of product to the distribution center and the distribution center refers this demand to its supplier. The matrix geometric method is applied to model the queueing system in order to obtain the steady-state probabilities and evaluate some performance measures. A cost model is developed to determine the best location for the distribution center and its optimal storage capacity and a numerical example is presented to determine the computability of the results derived in this study .
Discrete facility location
Distribution center
Logistics
Inventory policy
Queueing theory
Markov processes
2011
9
01
151
158
http://ijiepr.iust.ac.ir/article-1-317-en.pdf
26-320
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
Design of Distributed Optimal Adaptive Receding Horizon Control for Supply Chain of Realistic Size under Demand Disturbances
M.
Miranbeigi
A.A.
Jalali
drjalali@iust.ac.ir
A.
Miranbeigi
supply chain network receding horizon control demand move suppression term Supply chain networks are interconnection and dynamics of a demand network. Example subsystems, referred to as stages, include raw materials, distributors of the raw materials, manufacturers, distributors of the manufactured products, retailers, and customers. The main objectives of the control strategy for the supply chain network can be summarized as follows: (i) maximize customer satisfaction, and (ii) minimize supply chain operating costs. In this paper, we applied receding horizon control (RHC) method to a set of large scale supply chains of realistic size under demand disturbances adaptively. Also in order to increase the robustness of the system , we added a move suppression term to cost function .
supply chain network; receding horizon control; demand; move suppression term
2011
9
01
159
169
http://ijiepr.iust.ac.ir/article-1-320-en.pdf
26-321
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
Genetic and Improved Shuffled Frog Leaping Algorithms for a 2-Stage Model of a Hub Covering Location Network
M.
Mohammadi
R.
Tavakkoli-Moghaddam
tavakoli@ut.ac.ir
A.
Ghodratnama
H.
Rostami
Hub covering location problem, Network design, Single machine scheduling, Genetic algorithm, Shuffled frog leaping algorithm Hub location problems (HLP) are synthetic optimization problems that appears in telecommunication and transportation networks where nodes send and receive commodities (i.e., data transmissions, passengers transportation, express packages, postal deliveries, etc.) through special facilities or transshipment points called hubs. In this paper, we consider a central mine and a number of hubs (e.g., factories) connected to a number of nodes (e.g., shops or customers) in a network. First, the hub network is designed, then, a raw materials transportation from a central mine to the hubs (i.e., factories) is scheduled. In this case, we consider only one transportation system regarded as single machine scheduling. Furthermore, we use this hub network to solve the scheduling model. In this paper, we consider the capacitated single allocation hub covering location problem (CSAHCLP) and then present the mixed-integer programming (MIP) model. Due to the computational complexity of the resulted models, we also propose two improved meta-heuristic algorithms, namely a genetic algorithm and a shuffled frog leaping algorithm in order to find a near-optimal solution of the given problem. The performance of the solutions found by the foregoing proposed algorithms is compared with exact solutions of the mathematical programming model .
Hub covering location problem
Network design
Single machine scheduling
Genetic algorithm
Shuffled frog leaping algorithm
2011
9
01
171
179
http://ijiepr.iust.ac.ir/article-1-321-en.pdf
26-322
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
An Optimal NPV Project Scheduling with Fixed Work Content and Payment on Milestones
M.
Ranjbar
m_ranjbar@um.ac.ir
Project scheduling Net present value We consider a project scheduling problem with permitted tardiness and discrete time/resource trade-offs under maximum net present value objective. In this problem, a project consists of a set of sequential phases such that each phase contains one or more sub-projects including activities interrelated by finish-start-type precedence relations with a time lag of zero, which require one or more renewable resources. There is also a set of unconstrained renewable resources. For each activity, instead of a fixed duration and known resource requirements, a total work content respect to each renewable resource is given which essentially indicates how much work has to be performed on it. This work content can be performed in different modes, i.e. with different durations and resource requirements as long as the required work content is met. Based on the cost of resources units and resource requirements of each activity, there is a corresponding cash flow for the activity. Each phase is ended with a milestone that corresponds to the phase income. We prove that the mode corresponding to the minimum possible duration of each activity is the optimal mode in this problem. We also present a simple optima scheduling procedure to determine the finish time of each activity .
Project scheduling
Net present value
2011
9
01
181
186
http://ijiepr.iust.ac.ir/article-1-322-en.pdf
26-323
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
Complex Integrated Supply Chain Planning with Multiple Modes Supply, Production and Distribution by ELECTRE Method
M
Karbasian
mkarbasi@mut-es.ac.ir
M
Bashiri
M
Safaei
Strategic programming, Complex supply chain, Lean, Production programming, Suppliers selection, ELECTRE This paper represents a model of strategic programming with limited resources in a complex supply chain. The main goal of the proposed model is to increase efficiency and effectiveness of the supply chain with respect to income increases and cost decreases. Using special objective functions, has guaranteed the lean supply, production, distribution and suppliers' selection strategies. Furthermore, it can use for production programming in the supply chain. Moreover, customer satisfaction has also been perceived, by using minimization objective functions of shortage amount and restrictions of maximum allowed shortage. In this model, objective functions have been defined in a way, which directs the supply chain to the lean. Finally, after determining strategies according to objective functions and constraints, the optimal strategies using multi-criteria decision making - ELECTRE process- have been chosen .
Strategic programming
Complex supply chain
Lean
Production programming
Suppliers selection
ELECTRE
2011
9
01
187
198
http://ijiepr.iust.ac.ir/article-1-323-en.pdf
26-324
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
A Comprehensive Mathematical Model for the Design of a Dynamic Cellular Manufacturing System Integrated with Production Planning and Several Manufacturing Attributes
F.
Khaksar-Haghani
N.
Javadian
: nijavadian@ustmb.ac.ir
R.
Tavakkoli-Moghaddam
A.
Baboli
R.
Kia
Dynamic cellular manufacturing systems, Mixed-integer non-linear programming, Production planning, Manufacturing attributes This paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (DCMS) based on production planning (PP) decisions and several manufacturing attributes. Such an integrated DCMS model with an extensive coverage of important design features has not been proposed yet and incorporates several manufacturing attributes including alternative process routings, operation sequence, processing time, production volume of parts, purchasing machine, duplicate machines, machine depot, machine capacity, lot splitting, material flow conservation equations, inflation coefficient, cell workload balancing, budget constraints for cell construction and machine procurement, varying number of formed cells, worker capacity, holding inventories and backorders, outsourcing part-operations, warehouse capacity, and cell reconfiguration. The objective of the integrated model is to minimize the total costs of cell construction, cell unemployment, machine overhead and machine processing, part-operations setup and production, outsourcing, backorders, inventory holding, material handling between system and warehouse, intra-cell and inter-cell movements, purchasing new machines, and machine relocation/installation/uninstallation. A comprehensive numerical example taken from the literature is solved by the Lingo software to illustrate the performance of the proposed model in handling the PP decisions and to investigate the incorporated manufacturing attributes in an integrated DCMS .
Dynamic cellular manufacturing systems
Mixed-integer non-linear programming
Production planning
Manufacturing attributes
2011
9
01
199
212
http://ijiepr.iust.ac.ir/article-1-324-en.pdf
26-325
2021-01-22
10.1002
International Journal of Industrial Engineering & Production Research
IJIEPR
2008-4889
2345-363X
10.22068/ijiepr
2011
22
3
Factors Influencing Target Market Criteria: A Survey Conducted in Industries at Vitthal Udyognagar in Anand District of Gujarat State, India
T.B.
Pankhania
tbp@sify.com
V.K.
Modi
For any organization sound marketing strategy and quality assurance play vital role in the growth of the organization. The price, quality and service, service centers, friendly attitude, Discounts on sales, esthetics, store location and appearance, ease of operations, guarantees and warranties, adopting new ideas, and flexible payments terms were considered to study the perceptions of the respondents. The ultimate aim is to uphold the turnover of the organization and to create good market penetration of the goods produced in highly competitive business world .
Price
quality
service
guarantee
warrantee
discounts.
2011
9
01
213
220
http://ijiepr.iust.ac.ir/article-1-325-en.pdf