Tour based and supply chain modeling for freight: integrated model demonstration in Chicago

2013 ◽  
Vol 5 (2) ◽  
pp. 55-66 ◽  
Author(s):  
M Outwater ◽  
C Smith ◽  
K Wies ◽  
S Yoder ◽  
B Sana ◽  
...  
Keyword(s):  
Supply Chain ◽  
Integrated Model ◽  
Supply Chain Modeling

Information technology support for integrated supply chain modeling

2008 ◽  
Vol 27 (1) ◽  
pp. 3-13
Author(s):  
Charu Chandra ◽  
Jānis Grabis
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Supply Chain ◽  
Process Modeling ◽  
Service Oriented Architecture ◽  
Model Development ◽  
Integrated Models ◽  
Supply Chain Modeling ◽  
Decision Making Models ◽  
Integrated Supply Chain

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.

scholarly journals Modelling the Digital Supply Chain enablers using TISM and MICMAC approach

2021 ◽  
Author(s):  
Vimal Kumar Dixit ◽  
◽  
Rakesh Kumar Malviya ◽  
Shrikant Pandey ◽  
◽  
...  
Keyword(s):  
Supply Chain ◽  
Integrated Model ◽  
Structural Modelling ◽  
Indirect Relationship ◽  
The Relationship

The purpose of this article is to select digital supply chain enablers (DSCEs) to find its contextual relationship for successful digital supply chain (DSC) implementation. Total interpretative structural modelling (TISM) is used to develop the relationship among selected DSCEs. The findings of TISM are worked for the Matriced Impacts Croises Multiplication Appliqueeaun Classement (MICMAC) approach to identify the driving and dependence power of DSCEs. This paper identified 10 DSCEs and developed an integrated model using TISM and the FMICMAC approach. The model is used to recognize and organize the important enablers and show the direct and indirect relationship and effects of each enabler on the DSC implementation.

Supply Chain Design of Manufacturing Processes with Blending Technologies

2017 ◽  
Vol 261 ◽  
pp. 509-515 ◽  
Author(s):  
Ágota Bányainé Tóth ◽  
Béla Illés ◽  
Fabian Schenk
Keyword(s):  
Mathematical Model ◽  
Linear Programming ◽  
Supply Chain ◽  
Literature Review ◽  
Linear Programming Problem ◽  
Integrated Approach ◽  
Integrated Model ◽  
Supply Chain Design ◽  
Manufacturing Processes ◽  
Proposed Model

Blending technologies play an important role in manufacturing. The design and operation of manufacturing processes using blending technologies represent a special range of manufacturing related logistics because the integrated approach of technological and logistic parameters is very significant. This research proposes an integrated model of supply of manufacturing processes using blending technologies. After a careful literature review, this paper introduces a mathematical model to formulate the problem of supply chain design for blending technologies. The integrated model includes the optimal purchasing strategy depending on the characteristics of components to be mixed in the desired proportion and the costs of supply. The integrated model will be described as a linear programming problem. Numerical results with different datasets demonstrate how the proposed model takes technological and logistic aspects into consideration.

An Approach Based on Generic Label Correcting Algorithm for Supply Chain Modeling

2013 ◽  
Vol 411-414 ◽  
pp. 2085-2088
Author(s):  
Xiao Qing Geng ◽  
Yu Wang
Keyword(s):  
Supply Chain ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Decision Rules ◽  
Data Space ◽  
Different Types ◽  
Supply Chain Modeling

In this paper, the rough set theory is applied to reduce the complexity of data space and to induct decision rules. It proposes the generic label correcting (GLC) algorithm incorporated with the decision rules to solve supply chain modeling problems. This proposed approach is agile because by combining various operators and comparators, different types of paths in the reduced networks can be solved with one algorithm.

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