e-Supply Network

2011 ◽  
pp. 250-268
Author(s):  
Shima Mohebbi ◽  
Rasoul Shafaei ◽  
Namjae Cho
Keyword(s):  
Capacity Utilization ◽  
Coordination Mechanism ◽  
Global Network ◽  
Supply Network ◽  
Agent Based ◽  
Network Cost ◽  
Network Coordination ◽  
Supply Capacity ◽  
The Impact ◽  
Total Network

The automation of negotiation among buyer-supplier-supplier triad is an important policy in e-supply network coordination (e-SNC). In addition to the buyer-supplier coordination advantages, a further coordination among suppliers is also highly important in order to maximize the network supply capacity utilization especially when the suppliers are geographically decentralized. This chapter focuses on the impact of suppliers’ coordination in a network where the coordination among buyers and suppliers is in place. The proposed agent-based model is composed of two negotiator agents, one monitor agent, and one coordinator agent. The model begins with buyer-supplier negotiation and coordination mechanism adopted from the approach developed by Mohebbi and Shafaei (2010). Then, the suppliers’ coordination mechanism is developed to investigate the interaction among suppliers and evaluate the subsequent benefit obtained in the global network. The efficiency of the proposed approach is evaluated using a simulation model. The results demonstrate that in a network where the coordination among buyers and suppliers is in place, a further coordination among suppliers leads to the reduction of total network cost.

scholarly journals Inventory Share Policy Designs for a Sustainable Omni-Chanel E-Commerce Network

2020 ◽  
Vol 12 (23) ◽  
pp. 10022
Author(s):  
Damla İzmirli ◽  
Banu Yetkin Ekren ◽  
Vikas Kumar
Keyword(s):  
Network Design ◽  
Information Technologies ◽  
Demand Uncertainty ◽  
Strategic Alliance ◽  
Policy Design ◽  
Transportation Cost ◽  
Supply Network ◽  
Integration Policy ◽  
Network Cost ◽  
Total Network

This paper studies inventory share policies for sustainable omni-channel e-commerce supply network design by seeking for a good integration policy of online and offline retailers so that the overall supply network reduce its cost, environmental negative impacts by the decreased number of shipments from the main depot, and increase its responsiveness. By the recent advancement in information technologies and internet use, e-commerce practice gained popularity also to keep up with the competitive environment. The increased competitive supply chain environment has revealed the business-to-business (B2B) concepts enabling business applications between companies. Strategic alliance is a partnership concept realized between two or more organizations ensuring that stages are managed with consideration of the welfare of the others in the whole network. By considering that there are inventory share policies between stages, we accept the existence of strategic alliance implementation in the network, aiming to increase total network flexibility and profitability as well as sustainability in the network. In the study, we research inventory share policies towards strategic alliance concept to have a network design with a decreased negative effect of demand uncertainty and increased profitability in the network. By inventory share policies, businesses share their current inventories with the others so that transportation cost and CO2 emission caused by traffic intensity is decreased in the network. We propose six inventory share policy combinations and optimize the (s, S) inventory levels under those policies by minimizing total network cost. We utilize the simulation modeling approach for the modeling purpose. We compare the policy results based on the total network cost, the total number of shipments completed from the main warehouse, and total lost sale cost, etc., at the optimal levels and suggest the best policy design.

scholarly journals Load Control by Demand Side Management to Support Grid Stability in Building Clusters

Energies ◽  
2020 ◽  
Vol 13 (19) ◽  
pp. 5112 ◽  
Author(s):  
Monika Hall ◽  
Achim Geissler
Keyword(s):  
Electric Vehicles ◽  
Capacity Utilization ◽  
Heat Pumps ◽  
Photovoltaic Systems ◽  
Existing Building ◽  
Agent Based ◽  
High Penetration ◽  
Multi Agent ◽  
The Impact ◽  
Support Grid

Increasing numbers of photovoltaic systems and heat pumps in existing building clusters can lead to an overload of the associated electric grid substations. Based on a multi-agent-based simulation of three building cluster types the impact of building flexibility in regard to the residual substation load is studied. Each building announces its available flexibility, e.g., “heat pump can be switched off/on”. A cluster master coordinator evaluates the incoming offers and decides which offers are accepted in regard to the substation’s capacity utilization. The goal is to honour the substation’s limit by shifting the residual load. This paper presents results from three typical urban building clusters for different penetration scenarios in regard to heat pumps, photovoltaic systems, batteries and electric vehicles. It is shown that in the studied building clusters a high penetration of heat pumps and photovoltaic systems can violate the existing substation’s limits, regardless of the efforts by the master coordinator. Batteries of typical capacities cannot reduce the peak residual load. The load shifting options of the master coordinator are limited.

Multi-Period Optimization Model for Siting Capacitated Intermodal Facilities

2020 ◽  
Vol 2674 (7) ◽  
pp. 135-147
Author(s):  
Vishal Badyal ◽  
William G. Ferrell ◽  
Nathan Huynh ◽  
Bhavya Padmanabhan
Keyword(s):  
South Carolina ◽  
Network Performance ◽  
Programming Model ◽  
Sensitivity Analyses ◽  
Mixed Integer ◽  
Network Cost ◽  
Volume Mode ◽  
Increasing Demand ◽  
The Impact ◽  
Total Network

The objective of this study is to design an intermodal transport network considering multiple planning periods and accounting for product volume, mode, budget, and inventory at intermodal terminals (IMTs). A mixed integer linear programming model is developed. An experimental study is conducted for the State of South Carolina using the Freight Analysis Framework Version 4.5 (FAF4) dataset. Sensitivity analyses are performed to study the impact of budget, the maximum number of IMTs allowed, and increasing demand on the intermodal network design. The experimental results indicate that Columbia as an IMT location has a significantly effects on the total network cost and intermodal shipping share. Increasing the budget and number of IMTs allowed improved the network performance non-linearly.

scholarly journals On pricing and bundling decisions for Stackelberg games in parallel channels of substitutable composites

2020 ◽  
Author(s):  
Sina Keyhanian ◽  
Abbas Ahmadi ◽  
Behrooz Karimi
Keyword(s):  
Cost Reduction ◽  
Decision Makers ◽  
Stackelberg Games ◽  
Supply Network ◽  
Complementary Products ◽  
Network Cost ◽  
Cost Cutting ◽  
Mixed Bundling ◽  
Pricing Games ◽  
The Impact

The paper describes competition within a supply network with parallel distribution channels. Each supply chain in the network is composed of a manufacturer and a retailer. Manufacturers sell two complementary products to the retailers, who then deliver to the end consumers. All players can bundle or not bundle their products assuming that the retail market presents the products in a mixed bundling setting. The motivation of this study is to mainly analyze the impact of cost reduction via manufacturers, on how the whole supply network will behave. We have modeled and solved partly and fully sequential game structures well known as Bertrand and Stackelberg games, where the preceding movers are considered to have more market power. Mathematical and numerical analyses reveal interesting propositions and managerial insights for decision makers who are practicing cost cutting strategies. The combination of different ordinal structures have led to exact mathematical comparisons among 24 games. Results indicate both manufacturers and retailers are better off with simultaneous pricing games which promotes the concept of coordination through layer and channels of the network. Cost reduction with compensation increases payoffs, if only applied by the manufacturer whose complementary products’ manufacturing costs are more distanced. It is also shown that retailers enjoy a retail advantage on one product at its best when playing retailer leading Stackelberg games.

Multi-agent simulation for managing design changes in prefabricated construction projects

2019 ◽  
Vol 27 (1) ◽  
pp. 270-295 ◽  
Author(s):  
Juan Du ◽  
Hengqing Jing ◽  
Daniel Castro-Lacouture ◽  
Vijayan Sugumaran
Keyword(s):  
Change Management ◽  
Management Strategies ◽  
Coordination Mechanism ◽  
Managerial Decision ◽  
Content Type ◽  
Agent Based ◽  
Design Change ◽  
Design Changes ◽  
Multi Agent ◽  
The Impact

Purpose The purpose of this paper is to develop a multi-agent-based model for quantitatively measuring how the design change management strategies improve project performance. Design/methodology/approach Based on questionnaires and interviews, this paper investigates the coordination mechanism of risks due to design changes in prefabricated construction (PC) projects. Combined with all the variables related with design change risks, a multi-agent-based simulation model is proposed to evaluate the design change management effect. Findings The coordination mechanism between design change factors, design change events, risk consequence and management strategy in PC projects is described and then the simulation-based design change management mechanism in PC projects is used to assess the effect of management strategies under dynamic scenarios. Originality/value PC projects have rapidly increased in recent years due to the advantages of fast construction, high quality and labor savings. Different from traditional on-site construction, the impact and risk from design changes are likely to be greater due to the prefabricated project being multi-stage, highly interactive and complex. The simulations presented in this paper make it possible to test different design change management strategies in order to study their effectiveness and support managerial decision making.

scholarly journals Process Modeling and Simulation of Tableting—An Agent-Based Simulation Methodology for Direct Compression

Pharmaceutics ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 996
Author(s):  
Niels Lasse Martin ◽  
Ann Kathrin Schomberg ◽  
Jan Henrik Finke ◽  
Tim Gyung-min Abraham ◽  
Arno Kwade ◽  
...  
Keyword(s):  
Raw Materials ◽  
Pilot Scale ◽  
Physical Models ◽  
Agent Based Simulation ◽  
Validation Data ◽  
Agent Based ◽  
Industrial Processing ◽  
Digital Twins ◽  
Product And Process ◽  
The Impact

In pharmaceutical manufacturing, the utmost aim is reliably producing high quality products. Simulation approaches allow virtual experiments of processes in the planning phase and the implementation of digital twins in operation. The industrial processing of active pharmaceutical ingredients (APIs) into tablets requires the combination of discrete and continuous sub-processes with complex interdependencies regarding the material structures and characteristics. The API and excipients are mixed, granulated if required, and subsequently tableted. Thereby, the structure as well as the properties of the intermediate and final product are influenced by the raw materials, the parametrized processes and environmental conditions, which are subject to certain fluctuations. In this study, for the first time, an agent-based simulation model is presented, which enables the prediction, tracking, and tracing of resulting structures and properties of the intermediates of an industrial tableting process. Therefore, the methodology for the identification and development of product and process agents in an agent-based simulation is shown. Implemented physical models describe the impact of process parameters on material structures. The tablet production with a pilot scale rotary press is experimentally characterized to provide calibration and validation data. Finally, the simulation results, predicting the final structures, are compared to the experimental data.

scholarly journals Integrated IEW-TOPSIS and Fire Dynamics Simulation for Agent-Based Evacuation Modeling in Industrial Safety

Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 47
Author(s):  
Wattana Chanthakhot ◽  
Kasin Ransikarbum
Keyword(s):  
Emergency Evacuation ◽  
Industrial Sector ◽  
Industrial Safety ◽  
Dynamics Simulation ◽  
Entropy Weight ◽  
Fire Dynamics ◽  
Evacuation Simulation ◽  
Evacuation Modeling ◽  
Agent Based ◽  
The Impact

Emergency events in the industrial sector have been increasingly reported during the past decade. However, studies that focus on emergency evacuation to improve industrial safety are still scarce. Existing evacuation-related studies also lack a perspective of fire assembly point’s analysis. In this research, location of assembly points is analyzed using the multi-criteria decision analysis (MCDA) technique based on the integrated information entropy weight (IEW) and techniques for order preference by similarity to ideal solution (TOPSIS) to support the fire evacuation plan. Next, we propose a novel simulation model that integrates fire dynamics simulation coupled with agent-based evacuation simulation to evaluate the impact of smoke and visibility from fire on evacuee behavior. Factors related to agent and building characteristics are examined for fire perception of evacuees, evacuees with physical disabilities, escape door width, fire location, and occupancy density. Then, the proposed model is applied to a case study of a home appliance factory in Chachoengsao, Thailand. Finally, results for the total evacuation time and the number of remaining occupants are statistically examined to suggest proper evacuation planning.

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