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Book part
Publication date: 11 September 2020

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Applications of Management Science
Type: Book
ISBN: 978-1-83867-001-6

Open Access
Article
Publication date: 30 April 2013

Hongjoo Lee and Hosang Jung

In this paper, we propose a scenario based global supply chain planning (GSCP) process considering demand uncertainty originated from various global supply chain risks. To…

Abstract

In this paper, we propose a scenario based global supply chain planning (GSCP) process considering demand uncertainty originated from various global supply chain risks. To generate the global supply chain plan, we first formulate a GSCP model. Then, we need to generate several scenarios which can represent various demand uncertainties. Lastly, a planning procedure for considering those defined scenarios is applied. Unlike the past related researches, we adopt the fuzzy set theory to represent the demand scenarios. Also, a scenario voting process is added to calculate a probability (possibility) of each scenario. An illustrative example based on a real world case is presented to show the feasibility of the proposed planning process.

Details

Journal of International Logistics and Trade, vol. 11 no. 1
Type: Research Article
ISSN: 1738-2122

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Content available
Article
Publication date: 14 May 2020

Matthew D. Ferguson, Raymond Hill and Brian Lunday

This study aims to compare linear programming and stable marriage approaches to the personnel assignment problem under conditions of uncertainty. Robust solutions should exhibit…

Abstract

Purpose

This study aims to compare linear programming and stable marriage approaches to the personnel assignment problem under conditions of uncertainty. Robust solutions should exhibit reduced variability of solutions in the presence of one or more additional constraints or problem perturbations added to some baseline problems.

Design/methodology/approach

Several variations of each approach are compared with respect to solution speed, solution quality as measured by officer-to-assignment preferences and solution robustness as measured by the number of assignment changes required after inducing a set of representative perturbations or constraints to an assignment instance. These side constraints represent the realistic assignment categorical priorities and limitations encountered by army assignment managers who solve this problem semiannually, and thus the synthetic instances considered herein emulate typical problem instances.

Findings

The results provide insight regarding the trade-offs between traditional optimization and heuristic-based solution approaches.

Originality/value

The results indicate the viability of using the stable marriage algorithm for talent management via the talent marketplace currently used by both the U.S. Army and U.S. Air Force for personnel assignments.

Details

Journal of Defense Analytics and Logistics, vol. 4 no. 1
Type: Research Article
ISSN: 2399-6439

Keywords

Open Access
Article
Publication date: 16 October 2017

Pawel Sitek, Jaroslaw Wikarek and Peter Nielsen

The purpose of this paper is the need to build a novel approach that would allow flexible modeling and solving of food supply chain management (FSCM) problems. The models…

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Abstract

Purpose

The purpose of this paper is the need to build a novel approach that would allow flexible modeling and solving of food supply chain management (FSCM) problems. The models developed would use the data (data-driven modeling) as early as possible at the modeling phase, which would lead to a better and more realistic representation of the problems being modeled.

Design/methodology/approach

An essential feature of the presented approach is its declarativeness. The use of a declarative approach that additionally includes constraint satisfaction problems and provides an opportunity of fast and easy modeling of constrains different in type and character. Implementation of the proposed approach was performed with the use of an original hybrid method in which constraint logic programming (CLP) and mathematical programming (MP) are integrated and transformation of a model is used as a presolving technique.

Findings

The proposed constraint-driven approach has proved to be extremely flexible and efficient. The findings obtained during part of experiments dedicated to efficiency were very interesting. The use of the constraint-driven approach has enabled finding a solution depending on the instance data up to 1,000 times faster than using the MP.

Research limitations/implications

Due to the limited use of exact methods for NP-hard problems, the future study should be to integrate the CLP with environments other than the MP. It is also possible, e.g., with metaheuristics like genetic algorithms, ant colony optimization, etc.

Practical implications

There is a possibility of using the approach as a basis to build a decision support system for FSCM, simple integration with databases, enterprise resource planning systems, management information systems, etc.

Originality/value

The new constraint-driven approach to FSCM has been proposed. The proposed approach is an extension of the hybrid approach. Also, a new decision-making model of distribution and logistics for the food supply chain is built. A presolving technique for this model has been presented.

Content available
Book part
Publication date: 19 April 2022

Abstract

Details

Circular Economy Supply Chains: From Chains to Systems
Type: Book
ISBN: 978-1-83982-545-3

Open Access
Article
Publication date: 16 November 2015

Aibing Ji, Hui Liu, Hong-jie Qiu and Haobo Lin

– The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs).

4228

Abstract

Purpose

The purpose of this paper is to build a novel data envelopment analysis (DEA) model to evaluate the efficiencies of decision making units (DMUs).

Design/methodology/approach

Using the Choquet integrals as aggregating tool, the authors give a novel DEA model to evaluate the efficiencies of DMUs.

Findings

It extends DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form. At last, the authors use the numerical examples to illustrate the performance of the proposed model.

Practical implications

The proposed DEA model can be used to evaluate the efficiency of the DMUs with multiple interactive inputs and outputs.

Originality/value

This paper introduce a new DEA model to evaluate the DMU with interactive variables (inputs or outputs), the classical DEA model is a special form.

Details

Management Decision, vol. 53 no. 10
Type: Research Article
ISSN: 0025-1747

Keywords

Content available
Book part
Publication date: 15 April 2020

Abstract

Details

Essays in Honor of Cheng Hsiao
Type: Book
ISBN: 978-1-78973-958-9

Content available
Book part
Publication date: 1 January 2001

Abstract

Details

Dynamic General Equilibrium Modelling for Forecasting and Policy: A Practical Guide and Documentation of MONASH
Type: Book
ISBN: 978-0-44451-260-4

Open Access
Article
Publication date: 7 February 2022

Chunsuk Park, Dong-Soon Kim and Kaun Y. Lee

This study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This…

1179

Abstract

This study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This study conducts asset allocation using the ex ante expected rate of return through the outlook of future economic indicators because past economic indicators or realized rate of returns which are used as input data for expected rate of returns in the “building block” method, most adopted by domestic pension funds, does not fully reflect the future economic situation. Vector autoregression is used to estimate and forecast long-term interest rates. Furthermore, it is applied to gross domestic product and consumer price index estimation because it is widely used in financial time series data. Based on asset allocation simulations, this study derived the following insights: first, economic indicator filtering and upper-lower bound computation is needed to reduce the expected return volatility. Second, to reach the ALM goal, more stocks should be allocated than low-yielding assets. Finally, dynamic asset allocation which has been mirroring economic changes actively has a higher annual yield and risk-adjusted return than static asset allocation.

Details

Journal of Derivatives and Quantitative Studies: 선물연구, vol. 30 no. 1
Type: Research Article
ISSN: 1229-988X

Keywords

Content available
Book part
Publication date: 14 December 2018

Abstract

Details

Airline Economics in Asia
Type: Book
ISBN: 978-1-78754-566-3

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