mixedinteger programming models for simultaneous batching

Mixed-integer programming models for simultaneous batching ...

Nov 02, 2017  Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants. ... We propose two novel discrete-time mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants with storage constraints. The proposed models adopt two different modeling approaches.

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Mixed-integer programming models for simultaneous batching ...

We propose two novel discrete-time mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants with storage constraints. The proposed models adopt two different modeling approaches.

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Mixed-integer programming models for simultaneous batching ...

We propose two novel discrete-time mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants with storage constraints. The proposed models adopt two different modeling approaches.

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Mixed-integer programming models for simultaneous batching ...

Abstract We propose two novel discrete-time mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants with storage constraints. The proposed models adopt two different modeling approaches. The first is based on explicit labeling of batches, while the second is based on identifying possible batch size intervals for each order and the corresponding ...

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Mixed-Integer Programming Models for Simultaneous Batching ...

The goal of this paper is the development of a mixed-integer programming formulation for the simultaneous batching and scheduling in multiproduct multistage processes with storage constraints.

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Mixed-integer linear programming models for batch ...

10%  Nov 28, 2012  The developed models were based on mixed-integer linear programming and incorporated the possibility of simultaneous sterilization. Simultaneous sterilization applies mainly to small canneries with few retorts. In these situations, retorts often operate with only partial loads because of the small lot sizes, and they are severely under-utilized.

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Mixed-Integer Programming Model and Tightening Methods for ...

We develop a mixed-integer programming (MIP) model to address chemical production scheduling problems in a wide range of facilities, including facilities with many different types of material handling restrictions and a wide range of process characteristics. ... Mixed-integer programming models for simultaneous batching and scheduling in ...

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(PDF) Simultaneous batching and scheduling in multi ...

Thus, a given order of a Please cite this article as: Kopanos G. M. and Puigjaner L., (2010), Simultaneous batching and scheduling in multi-product multi- stage batch plants through mixed-integer linear programming., Chemical Engineering Transactions, 21, 505-510 DOI: 10.3303/CET1021085 506 certain size (quantity) cannot necessarily be split ...

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SIMULTANEOUS BATCHING AND SCHEDULING FOR

batch chemical manufacturing context can be solved easily using existing methods. However, the joint problem is not amenable to the standard methods. Sections 2 and 3 provide the background for the problem. In Sections 4 and 5, we formulate the problem as a mixed-integer nonlinear programming model and then present an efficient iterative ...

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Simultaneous Batching and Scheduling of Batch Plants That ...

Aug 06, 2014  A mathematical modeling framework for the simultaneous batching and scheduling of multiproduct batch plants is proposed in this work. The scheduling decisions are formulated according to campaign-based operation mode. When a stable context can be assumed on the time horizon taken into account, this operation mode assures a more efficient production management. In addition, sequence

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Mixed-Integer Programming Model and Tightening Methods

We develop a mixed-integer programming (MIP) model to address chemical production scheduling problems in a wide range of facilities, including facilities with many different types of material handling restrictions and a wide range of process characteristics. ... Mixed-integer programming models for simultaneous batching and scheduling in ...

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Mixed-integer linear programming models for batch ...

Nov 28, 2012  The developed models were based on mixed-integer linear programming and incorporated the possibility of simultaneous sterilization. Simultaneous sterilization applies mainly to small canneries with few retorts. In these situations, retorts often operate with only partial loads because of the small lot sizes, and they are severely under-utilized.

get price

A MixedInteger Linear Programming- Model for

A MixedInteger Linear Programming- Model for Optimizing the Scheduling and Assignment of Tank Farm operations . Sebastian Terrazas-Morenoa, Ignacio E. Grossmanna*, ... (2008) present a simultaneous batching and Maravelias scheduling formulation for a multiproduct multistage process that includes storage

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SIMULTANEOUS BATCHING AND SCHEDULING FOR

batch chemical manufacturing context can be solved easily using existing methods. However, the joint problem is not amenable to the standard methods. Sections 2 and 3 provide the background for the problem. In Sections 4 and 5, we formulate the problem as a mixed-integer nonlinear programming model and then present an efficient iterative ...

get price

Simultaneous batching and scheduling in multistage ...

In this article, we present a mixed-integer programming formulation for the simultaneous batching and scheduling in multiproduct multistage processes. The proposed sequence-based formulation addresses limitations of existing approaches where batching and

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Scheduling: Modeling – Maravelias Group – UW–Madison

Lee, H-J.; Maravelias, C.T. Mixed-integer Programming Models for Simultaneous Batching and Scheduling in Multi-purpose Batch Plants. Computers and Chemical Engineering, 106, 621-644, 2017. Velez, S.; Maravelias, C.T. Mixed-integer Programming Model and Tightening Methods for Scheduling in General Chemical Production Environments.

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Discrete-time mixed-integer programming models and ...

Abstract We address the problem of production scheduling in multi-product multi-stage batch plants. Unlike most of the previous works, which propose continuous-time models, we study discrete-time mixed-integer programming models and solution methods. Specifically, we discuss two models based on network representations of the facility and develop two new models inspired by the Resource ...

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Modeling Maravelias Research Group

Lee H, Maravelias CT. Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants. Computers and Chemical Engineering, 106, 621–644, 2017. Sundaramoorthy A, Maravelias CT. A General Framework for Process Scheduling. 57(3), 695–710, 2011. Velez S, Dong Y, Maravelias CT.

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Publications Maravelias Research Group

Mixed-integer Programming Models for Simultaneous Batching and Scheduling in Multi-purpose Batch Plants. ... Ferris MC, Maravelias CT, Sundaramoorthy A. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid.

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[PDF] Simultaneous Batching and Scheduling of Single Stage ...

This article deals with the optimal short-term scheduling of single stage batch plants with sequence-dependent changeovers together with the optimal selection of the number of batches to produce. The novelty of the article is that instead of following the traditional approach of considering one processing task per batch, all batches of the product are now aggregated into a single task.

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A mixed-integer linear programming for scheduling a multi ...

Jun 26, 2014  Pipelines carry different types of petroleum products from production areas to long-distance terminals. This paper introduces a novel mixed-integer linear programming based on a continuous time representation for scheduling a multi-product pipeline system connecting a unique refinery to several distribution centers where the mid-terminals are able to both inject product into the

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Mixed integer programming models for concurrent ...

Jan 22, 2020  The first one is the mixed integer nonlinear programming (MINP) model; the second one is the MILP model. The MINP is directly modified from the MIP model ( Dou et al., 2016 ). The binary decision variables of the MINP are listed in Table 1 , where binary variables x pijmu and y jkmu are for configuration design, and the variables w jkp and z ...

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Mixed Integer Linear Programming in Process Scheduling ...

Mathematical programming, especially Mixed Integer Linear Programming (MILP), because of its rigorousness, flexibility and extensive modeling capability, has become one of the most widely explored methods for process scheduling problems. Applications of MILP based scheduling methods range from the simplest single-stage ∗Corresponding author.

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Arul Sundaramoorthy - Linear Programming Manager - INEOS ...

The problem we study is the simultaneous batching and scheduling of multi-stage batch processes for which the binary decision variables are batch selection, batch-unit assignment and batch ...

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A MixedInteger Linear Programming- Model for Optimizing ...

A MixedInteger Linear Programming- Model for Optimizing the Scheduling and Assignment of Tank Farm operations . Sebastian Terrazas-Morenoa, Ignacio E. Grossmanna*, ... (2008) present a simultaneous batching and Maravelias scheduling formulation for a multiproduct multistage process that includes storage

get price

A Mixed Integer Linear Programming model for simultaneous ...

The goal of this work is to propose a multiperiod mixed-integer linear programming model for the design and production planning of multistage multiproduct batch plants integrating, simultaneously ...

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Mixed integer programming models for concurrent ...

Jan 22, 2020  The first one is the mixed integer nonlinear programming (MINP) model; the second one is the MILP model. The MINP is directly modified from the MIP model ( Dou et al., 2016 ). The binary decision variables of the MINP are listed in Table 1 , where binary variables x pijmu and y jkmu are for configuration design, and the variables w jkp and z ...

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A Continuous Time Mixed Integer Linear Programming Model ...

May 01, 2002  Mixed-integer programming models for simultaneous batching and scheduling in multipurpose batch plants. Computers Chemical Engineering 2017, 106 , 621-644. ... Discrete-time mixed-integer programming models and solution methods for production scheduling in multistage facilities. Computers Chemical Engineering 2016, 94 , 387-410.

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Publications Maravelias Research Group

Mixed-integer Programming Models for Simultaneous Batching and Scheduling in Multi-purpose Batch Plants. ... Ferris MC, Maravelias CT, Sundaramoorthy A. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid.

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An Application of Mixed-Integer Programming Duality to ...

A decomposable mixed-integer programming model for simultaneous economic consideration of unit commitment and short-term dispatch of thermal power generating equipment is presented. An optimum solution procedure is described which takes advantage of the structure of the model and promises computational efficiency in practical applications. Characterizing the demand forecast as a discretized ...

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Mixed-integer nonlinear programming: Some modeling and ...

Mixed-integer nonlinear programming: Some modeling and solution issues J. Lee ... model when k¼0, and to a standard mixed-integer linear programming (MILP) model when the functions f and g ... in problems concerning simultaneous choices from many small sets of alternatives).

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Simultaneous Batching and Scheduling Using Dynamic ...

The three major decisions for the simultaneous batching and scheduling of multi-stage process are modeled as follows: (i) Batch selection: Zil = 1 if the lth potential batch is active (i.e. selected to satisfy order i) (ii) Batch assignment: Xilj = 1 if batch (i,l) is assigned to processing unit j 4

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[PDF] Simultaneous Batching and Scheduling of Single Stage ...

This article deals with the optimal short-term scheduling of single stage batch plants with sequence-dependent changeovers together with the optimal selection of the number of batches to produce. The novelty of the article is that instead of following the traditional approach of considering one processing task per batch, all batches of the product are now aggregated into a single task.

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Integer Programming Model for Inventory Optimization

Model using mixed integer programming model, which can deal with multiple products, facilities, stages (echelons), time periods, and transportation modes. The objective of this model is to minimize a mathematical objective function of: (1) activity days and (2) total fixed and variable cost of manufacturing, material movement, warhorse, and ...

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Scheduling: Solution Methods – Maravelias Group – UW–Madison

Lee, H-J.; Maravelias, C.T. Discrete-time Mixed-integer Programming Models for Short-term Scheduling in Multipurpose Environments. Computers and Chemical Engineering, 107, 171-183, 2017. Merchan A.F.; Lee, H-J.; Maravelias, C.T. Discrete-Time Mixed-integer Programming Models for Solution Methods for Production Scheduling in Multistage

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Simultaneous planning for new product development and ...

Simultaneous planning for new product development and batch manufacturing facilities ... we consider the simultaneous optimization of resource-constrained scheduling of testing tasks in new product development and design/planning of batch manufacturing facilities. A multiperiod mixed-integer linear programming (MILP) model that maximizes the ...

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SIMULTANEOUS BATCHING AND SCHEDULING FOR CHEMICAL ...

Jan 05, 2009  We consider the problem of determining the allocation of demand from different customer orders to production batches and the schedule of resulting batches to minimize the total weighted earliness and tardiness penalties in context of batch chemical processing. The problem is formulated as a mixed‐integer nonlinear programming model.

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SIMULTANEOUS BATCHING AND SCHEDULING FOR CHEMICAL ...

Dec 01, 1999  We consider the problem of determining the allocation of demand from different customer orders to production batches and the schedule of resulting batches to minimize the total weighted earliness and tardiness penalties in context of batch chemical processing. The problem is formulated as a mixed‐integer nonlinear programming model. An iterative heuristic procedure that makes use of

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