2017-12-15T14:34:37Z
http://www.qjie.ir/?_action=export&rf=summon&issue=10
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
A Hybrid Meta-Heuristic Method to Optimize Bi-Objective Single Period Newsboy Problem with Fuzzy Cost and Incremental Discount
Ata Allah
Taleizadeh
Seyed Taghi
Akhavan Niaki
In this paper the real-world occurrence of the multiple-product multiple-constraint single period newsboy problem with two objectives, in which there is incremental discounts on the purchasing prices, is investigated. The constraints are the warehouse capacity and the batch forms of the order placements. The first objective of this problem is to find the order quantities such that the expected profit is maximized and the second objective is maximizing the service rate. It is assumed that holding and shortage costs, modeled by a quadratic function, occur at the end of the period, and that the decision variables are integer. A formulation to the problem is presented and shown to be an integer nonlinear programming model. Finally, an efficient hybrid algorithm of harmony search, goal programming, and fuzzy simulation is provided to solve the model. The results are illustrated by a numerical example.
Fuzzy Simulation
fuzzy variables
Goal programming
Harmony search
mixed integer nonlinear programming
Single period newsboy problem
2010
02
07
1
13
http://www.qjie.ir/article_16_ecc31e9fccb88a751d0e155a10c3cdb5.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
Using Markov Chain to Analyze Production Lines Systems with
Layout Constraints
sadegh
Abedi
morteza
mousakhani
naser
hamidi
There are some problems with estimating the time required for the manufacturing process of products, especially when there is a variable serving time, like control stage. These problems will cause overestimation of process time. Layout constraints, reworking constraints and inflexible product schedule in multi product lines need a precise planning to reduce volume in particular situation of line stock. In this article, a hybrid model has been presented by analyzing real queue systems with layout constraints as well as by using concepts and principles of Markov chain in queue theory. This model can serve as benchmark to assess queue systems with probable parameters of service. Here, the proposed model will be described drawing on the findings of a case study. Thus, production lines of a home application manufacturer will be analyzed.
Layout
Line Balance
Markov Chain
Queuing theory
2010
02
07
15
23
http://www.qjie.ir/article_17_a022d228258b7d443bd9b7670d6955c5.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
A New Approach in Job Shop Scheduling: Overlapping Operation
parviz
Fattahi
mohammad
Saidi Mehrabad
In this paper, a new approach to overlapping operations in job shop scheduling is presented. In many job shops, a customer demand can be met in more than one way for each job, where demand determines the quantity of each finished job ordered by a customer. In each job, embedded operations can be performed due to overlapping considerations in which each operation may be overlapped with the others because of its nature. The effects of the new approach on job shop scheduling problems are evaluated. Since the problem is well known as NP-Hard class, a simulated annealing algorithm is developed to solve large scale problems. Moreover, a mixed integer linear programming (MILP) method is applied to validate the proposed algorithm. The approach is tested on a set of random data to evaluate and study the behavior of the proposed algorithm. Computational experiments confirmed superiority of the proposed approach. To evaluate the effect of overlapping considerations on the job shop scheduling problem, the results of classical job shop scheduling with the new approach (job shop scheduling problem with overlapping operations) are compared. It is concluded that the proposed approach can improve the criteria and machines utilization measures in job shop scheduling. The proposed approach can be applied easily in real factory conditions and for large size problems. It should thus be useful to both practitioners and researchers.
Job Shop
Overlapping
Scheduling
simulated annealing
2010
02
07
25
32
http://www.qjie.ir/article_18_1b09cbccb448791b910f6d387ab42f98.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
An Iterated Greedy Algorithm for Flexible Flow Lines with Sequence
Dependent Setup Times to Minimize Total Weighted Completion Time
Bahman
Naderi
mostafa
Zandieh
Seyed Mohammad Taghi
Fatemi Ghomi
This paper explores the flexile flow lines where setup times are sequence- dependent. The optimization criterion is the minimization of total weighted completion time. We propose an iterated greedy algorithm (IGA) to tackle the problem. An experimental evaluation is conducted to evaluate the proposed algorithm and, then, the obtained results of IGA are compared against those of some other existing algorithms. The effectiveness of IGA is demonstrated through comparison.
flexible flow line
iterated greedy algorithm
Scheduling
sequence dependent setup time
2010
02
07
33
37
http://www.qjie.ir/article_19_b2fde86431e5878d5f8b97c4f4c85290.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
A Mathematical Model for a Flow Shop Scheduling Problem with
Fuzzy Processing Times
Jafar
Razmi
Reza
Tavakoli moghaddam
Mohammad
Saffari
This paper presents a mathematical model for a flow shop scheduling problem consisting of m machine and n jobs with fuzzy processing times that can be estimated as independent stochastic or fuzzy numbers. In the traditional flow shop scheduling problem, the typical objective is to minimize the makespan). However,, two significant criteria for each schedule in stochastic models are: expectable makespan and the probability of minimizing the makespan. These criteria can be considered for fuzzy problems as well. In this paper, we propose a solution for the fuzzy model by the use of fuzzy logic based on developing the model presented by MacCahon [18].
Flo shop
Fuzzy models
Makespan
Scheduling
2010
02
07
39
44
http://www.qjie.ir/article_20_356ce4540b2a4bdd38c323a3fa8c3e70.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
Propagation Models and Fitting Them for the Boolean Random Sets
mojtaba
Khazaei
Khalil
Shafie
In order to study the relationship between random Boolean sets and some explanatory variables, this paper introduces a Propagation model. This model can be applied when corresponding Poisson process of the Boolean model is related to explanatory variables and the random grains are not affected by these variables. An approximation for the likelihood is used to find pseudo-maximum likelihood estimates of propagation model parameters when the grains are nonrandom circle with unknown radii.
Boolean model
hitting functional
lower positive tangent points
Poisson point process
random closed set
2010
02
07
45
48
http://www.qjie.ir/article_21_385264bb2440c981c360f73b364afb45.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
New Heuristic Algorithms for Solving Single-Vehicle and Multi-Vehicle
Generalized Traveling Salesman Problems (GTSP)
Ellips
Masehian
Among numerous NP-hard problems, the Traveling Salesman Problem (TSP) has been one of the most explored, yet unknown one. Even a minor modification changes the problemâ€™s status, calling for a different solution. The Generalized Traveling Salesman Problem (GTSP)expands the TSP to a much more complicated form, replacing single nodes with a group or cluster of nodes, where the objective is to find a minimum-length tour containing exactly one node from each cluster. In this paper, a new heuristic method is presented for solving singlevehicle single-depot GTSP with the ability of controlling the search strategy from conservative to greedy and vice versa. A variant algorithm is then developed to accommodate the multi-vehicle single-depot condition, which is modified afterwards to accommodate the multi-vehicle multi-depot GTSP.
Single-Vehicle and Multi-Vehicle Generalized Traveling Salesman Problem
Traveling salesman problem
2010
02
07
49
58
http://www.qjie.ir/article_22_55a630dcf92b7a1ad95ce4c814269aa8.pdf
Journal of Optimization in Industrial Engineering
JOIE
2251-9904
2251-9904
2009
Volume 2
Issue 3
A Memetic Algorithm for Hybrid Flowshops with Flexible Machine
Availability Constraints
Fariborz
Jolai
mostafa
zandieh
Bahman
Naderi
This paper considers the problem of scheduling hybrid flowshops with machine availability constraints (MAC) to minimize makespan. The paper deals with a specific case of MAC caused by preventive maintenance (PM) operations. Contrary to previous papers considering fixed or/and conservative policies, we explore a case in which PM activities might be postponed or expedited while necessary. Regarding this flexibility in PM activities, we expect to obtain more efficient schedule. A simple technique is employed to schedule production jobs along with the flexible MACs caused by PM. To solve the problem, we present a high performing metaheuristic based on memetic algorithm incorporating some advanced features. To evaluate the proposed algorithm, the paper compares the proposed algorithm with several wellknown algorithms taken from the literature. Finally, we conclude that the proposed algorithm outperforms other algorithms.
Hybrid flowshops
machine availibility constraints
memetic algorithm
Scheduling
sequence dependent setup times
2010
02
07
59
64
http://www.qjie.ir/article_23_a4186a673564b016f5b5a43370600601.pdf