Policy-Combination Oriented Optimization for Supply Chain Simulation

2013 ◽  
Vol 302 ◽  
pp. 646-651
Author(s):  
Wen Zhe Tan ◽  
Xin Li ◽  
Yue Ting Chai
Keyword(s):  
Supply Chain ◽  
Optimization Problem ◽  
Search Space ◽  
Performance Evaluations ◽  
Optimization Approach ◽  
Quantitative Performance ◽  
Alternative Approaches ◽  
Effectiveness And Efficiency ◽  
Supply Chain Simulation

Supply chain simulation is able to capture the dynamics and uncertainties in all kinds of supply chains and provide quantitative performance evaluations. In order to address the time consuming evaluation and large search space issues in supply chain simulation, this paper proposes a policy-combination oriented optimization approach to conduct decision makings. The approach begins with reducing the search space by relaxing the goal of optimization, and then refers to meta-heuristic searching methods to solve the main bi-level optimization problem. Lastly the key parameters are fine-tuned with what-if analysis. A case study demonstrates the effectiveness and efficiency of the proposed approach, and compares it with other alternative approaches available in practice.

Analytical Hierarchy Process (AHP) for Selecting and Designing a Mini LNG Plant: A Case Study of Batam Indonesia

2013 ◽  
Author(s):  
Ketut Buda Artana ◽  
Dinariyana Dwi Putranta ◽  
Irfan Syarief Arief ◽  
I MadeAriana
Keyword(s):  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Clean Energy ◽  
Small Scale ◽  
Chain Model ◽  
Optimization Approach ◽  
Supply Chain Model ◽  
The Government ◽  
Hierarchy Process

Increase in demand for clean energy is one of the strategic issues in Indonesia nowadays, considering the significant economic growth of the country. A conventional LNG supply chain is not the best solution taking into consideration its high investment. The possibility of using a small scale LNG supply chain concept (Mini LNG) is recently sought by the government and private sectors in Indonesia. It is even more promising when we consider the amounts and number of stranded gas fields in the country. One of the main obstacles to the development plan is the geographical position of Indonesia as an archipelagic country. This paper presents a case study of LNG supply chain model of 10 mmscfd Gas Sales Agreement (GSA) in Batam and its design of LNG transportation model from Batam to Siantan-West Kalimantan [1]. The distance between Batam and Siantan is approximately 392 nautical miles. Two main objectives are covered in this paper. The first one is an implementation of the Analytical Hierarchy Process (AHP) to select the best location for mini LNG plant, and the second one is to design the LNG supply chain model based on optimization approach. The AHP model uses a pairwise comparison of 4 (four) qualitative attributes and 14 (fourteen) sub-attributes. 3 alternatives of location for mini LNG plant are evaluated, namely: Tanjung Uncang, Pemping Island and Janda Berhias Island. A sensitivity analysis by varying the weight of some critical attributes is also conducted to ensure that preferred location is sensitively selected with minimum error. The optimization of the LNG supply chain model is carried out by means of Gradually Reduced Gradient (GRG) methods. The Objective is to attain one design that will minimize investment (cost). Decision variables of the model are LNG plant capacity, storage tank capacity in loading and receiving terminal, vessel size, number of round trip, number of operating vessels, regasification capacity at the receiving terminal, and others.

scholarly journals Stability of the Supply Chain Using System Dynamics Simulation and the Accumulated Deviations from Equilibrium

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Luis Rabelo ◽  
Alfonso T. Sarmiento ◽  
Albert Jones
Keyword(s):  
Supply Chain ◽  
Dynamic Models ◽  
Complex Dynamics ◽  
Dynamics Simulation ◽  
Multidimensional Space ◽  
Optimization Approach ◽  
Controlling System ◽  
Manufacturing Supply Chain ◽  
Stochastic Properties

We propose and demonstrate a new methodology to stabilize systems with complex dynamics like the supply chain. This method is based on the accumulated deviations from equilibrium (ADE). It is most beneficial for controlling system dynamic models characterized by multiple types of delays, many interacting variables, and feedback processes. We employ the classical version of particle swarm optimization as the optimization approach due to its performance in multidimensional space, stochastic properties, and global reach. We demonstrate the effectiveness of our method based on ADE using a manufacturing-supply-chain case study.

Runner Optimization for In-Mold Assembly of Multi-Material Compliant Mechanisms

2011 ◽  
Author(s):  
Wojciech Bejgerowski ◽  
Satyandra K. Gupta
Keyword(s):  
Optimization Problem ◽  
Compliant Mechanisms ◽  
Compliant Mechanism ◽  
Polymer Melt ◽  
Injection Molding Process ◽  
Optimization Approach ◽  
Assembly Process ◽  
Molding Process ◽  
Design Variables

The runner system in injection molding process is used to supply the polymer melt from injection nozzle to the gates of final part cavities. Realizing complex multi-material mechanisms by in-mold assembly process requires special runner layout design considerations due to the existence of the first stage components. This paper presents the development of an optimization approach for runner systems in the in-mold assembly of multi-material compliant mechanisms. First, the issues specific to the in-mold assembly process are identified and analyzed. Second, the general optimization problem is formulated by identification of all parameters, design variables, objective functions and constraints. Third, the implementation of the optimization problem in Matlab® environment is described based on a case study of a runner system for an in-mold assembly of a MAV drive mechanism. This multi-material compliant mechanism consists of seven rigid links interconnected by six compliant hinges. Finally, several optimization approaches are analyzed to study their performance in solving the formulated problem. The most appropriate optimization approach is selected. The case study showed the applicability of the developed optimization approach to runner systems for complex in-mold assembled multi-material mechanism designs.

scholarly journals Omni-Channel Product Distribution Network Design by Using the Improved Particle Swarm Optimization Algorithm

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Si Zhang ◽  
Heying Zhu ◽  
Xia Li ◽  
Yan Wang
Keyword(s):  
Particle Swarm Optimization ◽  
Supply Chain ◽  
Distribution Network ◽  
Particle Swarm ◽  
Search Space ◽  
Product Distribution ◽  
Supply Chain Network ◽  
Swarm Optimization ◽  
Channel Integration

Distribution network under Omni-Channel integration contains many levels. There are one or more dealers at each level which forms a many-to-many distribution network. Consumers purchase a wide variety of products and their demands are uncertain, which constitutes a complex demand network and increases the complexity of the supply chain network. This paper focuses on the integrated optimization of supply chain distribution network and demand network and constructs the joint randomization planning model of location and routing. The goal is to minimize the total costs of the supply chain network under uncertain customer demands. Based on the traditional particle swarm optimization (PSO), this study introduces the collaborative idea to reduce the coding dimension, improves the boundary processing strategy, and adopts the mutation operator to expand the search space. A case study of distribution under Omni-Channel integration in a large enterprise was done. The validity of the model and the effectiveness of the proposed method were verified by numerical experiments.

Healthcare Supply Chain Simulation with Disruption Considerations: A Case Study from Northern Italy

2019 ◽  
Vol 20 (S1) ◽  
pp. 81-102 ◽  
Author(s):  
Riccardo Aldrighetti ◽  
Ilenia Zennaro ◽  
Serena Finco ◽  
Daria Battini
Keyword(s):  
Supply Chain ◽  
Northern Italy ◽  
Supply Chain Simulation

A CAS Approach for the Coordination and Optimization Problem in Supply Chains

2006 ◽  
Vol 532-533 ◽  
pp. 1040-1043
Author(s):  
Hui Hu ◽  
Guang Yu Zhu ◽  
Jin Sheng Shen
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Optimization Problem ◽  
Coordination Problem ◽  
Business Layer ◽  
System Objective ◽  
Different Levels

The paper concentrates on the issue of coordination and combined optimization of supply chains. All the member has its own interests, so there are conflicts between members motive and overall system objective. In the paper CAS theory is used as standard paradigm and complexity of the supply chain is analyzed. Case study includes some extreme situations of the supply chain in different levels, namely optimization and coordination problem within operation layer, business layer and enterprise layer. From the study, some rules are summarized to study the problem.

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