• No results found

mixed linear integer programming

Volume 4, Issue 1 (2018)

Volume 4, Issue 1 (2018)

... a mixed integer linear programming (MILP) model for waste biomass based supply chain was proposed in this study for economic performance ...

12

Two-Group MultiODA: A Mixed-Integer Linear Programming Solution with Bounded M

Two-Group MultiODA: A Mixed-Integer Linear Programming Solution with Bounded M

... 0: such observations should not be classified. The advantage of establishing a lower bound for M is illustrated with an example in- volving discriminating between excellent versus less than excellent medical residents ...

8

Lot Sizing in Production Scheduling at a Personal Protection Equipment Company

Lot Sizing in Production Scheduling at a Personal Protection Equipment Company

... This work presents an optimization model to support decisions during production planning and control in the personal protective equipment (PPE) industry (in par- ticular, gloves). A case study was carried out at a ...

10

Generalized Mixed Integer Rounding Valid Inequalities for Mixed Integer Programming Problems

Generalized Mixed Integer Rounding Valid Inequalities for Mixed Integer Programming Problems

... A branch-and-bound algorithm was first used for integer programming in [32]. The algorithm performs an implicit enumeration on the feasible region of the MIP. This is done on a tree structure. Each node of ...

117

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

Designing an Integrated Multi-objective Supply Chain Network Considering Volume Flexibility

... Abstract: This paper investigates the problem of designing an integrated production-distribution system which supports strategic and tactical decision levels in supply chain management. An important aspect of this ...

6

A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

A Novel Interactive Possibilistic Mixed Integer Nonlinear Model for Cellular Manufacturing Problem under Uncertainty

... a mixed-integer mathematical model for solving the manufacturing problems based on imprecise information and dynamic ...novel integer non-linear mathematical model based on fuzzy information ...

9

Vol 2, No 4 (2011)

Vol 2, No 4 (2011)

... In this paper, we have proposed a new method namely, decomposition method for solving a MILP problem with fuzzy variables by using the classical MILP. The significance of this paper is providing a new method for solving ...

6

Two-Level Evolutionary Multi-Objective Optimization of a District Heating System with Distributed Cogeneration

Two-Level Evolutionary Multi-Objective Optimization of a District Heating System with Distributed Cogeneration

... a Mixed Integer Non Linear Programming (MINLP) problem has generally to be solved for obtaining the optimal synthesis and operation of the integrated system, with a high computational ...

22

Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach

Short-term Price-based Unit Commitment of Hydrothermal GenCos: A Pre-emptive Goal Programming Approach

... novel mixed integer linear preemptive goal program with three-level hierarchy was proposed to improve the solution practicality of the short-term hydrothermal unit commitment problems and remove the ...

14

Optimization of the Water Distribution Networks with Differential Evolution (DE) and Mixed Integer Linear Programming (MILP)

Optimization of the Water Distribution Networks with Differential Evolution (DE) and Mixed Integer Linear Programming (MILP)

... V + = x + × F x − x (2) With random indexes r1, r2, r3 ∈ {1, 2, ⋅⋅⋅, NP} integer, mutually different and F > 0. The randomly chosen integers r1, r2 and r3 are also chosen to be different from the running index ...

15

A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

A multi-objective robust optimization model for a facility location-allocation problem in a supply chain under uncertainty

... multi-objective mixed-integer linear programming (MOMILP), in the context of which two conflicting objectives is taken into account simultaneously: (1) minimizing the total costs of a supply ...

12

Constructing  Mixed-integer  Programming  Models  whose  Feasible  Region  is  Exactly  the  Set  of  All  Valid  Differential  Characteristics  of  SIMON

Constructing Mixed-integer Programming Models whose Feasible Region is Exactly the Set of All Valid Differential Characteristics of SIMON

... constructing mixed- integer linear programming (MILP) models whose feasible regions are exactly the sets of all possible differential (or linear) characteristics for a wide range of ...

5

On the assignment of non teaching tasks to reduce teachers' work pressure

On the assignment of non teaching tasks to reduce teachers' work pressure

... Before the start of every school year, it is common at many secondary school units in the Netherlands to distribute a list of non-teaching tasks to the teachers. Teachers select the tasks that they prefer the most and ...

62

Supply Chain Network Optimization of the Canadian Forest Products Industry: A Critical Review

Supply Chain Network Optimization of the Canadian Forest Products Industry: A Critical Review

... A summary of studies on forest product industries supply chain network optimization models is shown in Table 1. Optimization studies in forestry have mainly focused on individual areas such as harvest scheduling and ...

13

Download
			
			
				Download PDF

Download Download PDF

... Consequently [3 – 5] presented the Supply based superstructure (SBS), the supply and target based superstructure (S&TBS) and the target and supply based superstructure (T&SBS) to optimize the competing costs in ...

7

A Novel Method for Designing and Optimization of Networks

A Novel Method for Designing and Optimization of Networks

... using mixed-integer programming, in which the objective function contains both capital cost represented in its discrete form and the transmission loss cost in a linear ...the ...

10

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

Methods And Solvers Used For Solving Mixed Integer Linear Programming And Mixed Nonlinear Programming Problems: A Review

... When the process of search tree node independent, parallelization is a must for the search tree. The branch and bound algorithm are used widely for these purposes [24]. The different categories of parallel integer ...

11

Survey on Different Techniques in Supply Chain Management

Survey on Different Techniques in Supply Chain Management

... as linear, integer, and mixed-integer programming) frequently fail to find optimal solutions for non-convex and/or large-scale models whereas metaheuristics are efficient approaches for ...

8

A mixed integer linear programming approach to forest utilisation management problems

A mixed integer linear programming approach to forest utilisation management problems

... area for management units that arise in a model I or model II formulation are termed structural constraints, whereas those constraints that integrate the flow of resources from managemen[r] ...

245

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

A Two Stage Stochastic Programming Model of the Price Decision Problem in the Dual-channel Closed-loop Supply Chain

... a mixed-integer linear programming to consider dynamic pricing approach for used products, forward/reverse logistics network configuration and ...

8

Show all 10000 documents...

Related subjects