A hybrid simulation model of inbound logistics operations in regional food supply systems

Regional food hubs aggregate, distribute, and market local food, with a goal of promoting environmental and social sustainability. They provide an alternative distribution channel through which small-scale producers can access wholesale markets. However, food hubs face many barriers to growth and success. In particular, they are often unable to achieve the logistical and operational efficiencies that characterize conventional large-scale food distribution. One possible method of improving food hub efficiency targets inbound logistics operations - specifically, the scheduling of producer deliveries to the food hub. In this paper, we describe a hybrid simulation model of the inbound logistics operations of a food hub. Using this model, we observe the scheduling behavior of the producers under different conditions and explore the effectiveness of implementing incentives to encourage producers to schedule their deliveries in advance.

[1]  Pranav J. Deshpande,et al.  Simulating less‐than‐truckload terminal operations , 2007 .

[2]  Tillal Eldabi,et al.  Hybrid simulation for modelling large systems: An example of integrated care model , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[3]  Cheryl L. Brown,et al.  Consumers' preferences for locally produced food: A study in southeast Missouri , 2003 .

[4]  Durk-Jouke van der Zee,et al.  Simulation modelling for food supply chain redesign; integrated decision making on product quality, sustainability and logistics , 2009 .

[5]  T. Schmit,et al.  Evaluating marketing channel options for small-scale fruit and vegetable producers , 2010, Renewable Agriculture and Food Systems.

[6]  Sally C. Brailsford,et al.  Hybrid simulation for health and social care: The way forward, or more trouble than it's worth? , 2013, 2013 Winter Simulations Conference (WSC).

[7]  Paul Davidsson,et al.  An Analysis of Agent-Based Approaches to Transport Logistics , 2005 .

[8]  M. M. Wolf,et al.  A Profile of Farmers' Market Consumers and the Perceived Advantages of Produce Sold at Farmers' Markets , 2005 .

[9]  Navonil Mustafee,et al.  Investigating execution strategies for hybrid models developed using multiple M&S methodologies , 2015, SpringSim.

[10]  J. Barham,et al.  Regional Food Hub Resource Guide , 2012 .

[11]  Sergio Cavalieri,et al.  Simulation in the supply chain context: a survey , 2004, Comput. Ind..

[12]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[13]  Wai Kin Chan,et al.  Agent-based discrete-event hybrid space modeling approach for transportation evacuation simulation , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).

[14]  Navonil Mustafee,et al.  Soft OR approaches in problem formulation stage of a hybrid M&S study , 2014, Proceedings of the Winter Simulation Conference 2014.

[15]  S. O. Tromp,et al.  Simulation modelling for food supply chain redesign , 2010 .

[16]  Sally C. Brailsford,et al.  A multi-paradigm, whole system view of health and social care for age-related macular degeneration , 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

[17]  D. Tropp Why Local Food Matters: The rising importance of locally-grown food in the U.S. food system , 2013 .

[18]  D. Conner,et al.  Building Resilience in Nonprofit Food Hubs , 2014 .

[19]  Krishnaswami Srihari,et al.  A simulation based approach for dock allocation in a food distribution center , 2008, 2008 Winter Simulation Conference.

[20]  Girma Gebresenbet,et al.  Mapping out the Potential for Coordinated Goods Distribution in City Centres: The Case of Uppsala , 2004 .

[21]  Senthil K. Veeraraghavan,et al.  Quality-Speed Conundrum: Trade-offs in Customer-Intensive Services , 2011, Manag. Sci..

[22]  Omer Tsimhoni,et al.  Integrating agent based modeling into a discrete event simulation , 2005, Proceedings of the Winter Simulation Conference, 2005..

[23]  Choong-Yeun Liong,et al.  A simulation study of warehouse loading andunloading systems using ARENA , 2009 .

[24]  Benita M. Beamon,et al.  Impacts of Farmer Coordination Decisions on Food Supply Chain Structure , 2015, J. Artif. Soc. Soc. Simul..

[25]  S. Vogel,et al.  Direct and Intermediated Marketing of Local Foods in the United States , 2011 .

[26]  F. Al-Shamali,et al.  Author Biographies. , 2015, Journal of social work in disability & rehabilitation.

[27]  G. Gebresenbet,et al.  Box-Scheme Based Delivery System of Locally Produced Organic Food: Evaluation of Logistics Performance , 2011 .

[28]  Michael J. North,et al.  Agent-based modeling and simulation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[29]  Wang Huanhuan,et al.  A framework for integrating discrete event simulation with agent-based modeling , 2013, 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering.

[30]  Larry J. Shuman,et al.  Agent-based Discrete Event Simulation Modeling for Disaster Responses , 2008 .

[31]  Charles M. Macal,et al.  Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation , 2007 .

[32]  Paul van Beek,et al.  Modelling and simulating multi-echelon food systems , 2000, Eur. J. Oper. Res..

[33]  Tillal Eldabi,et al.  A survey of simulation techniques in commerce and defence , 2008 .

[34]  Bernd Page,et al.  An Agent-Based Simulation Tool for Modelling Sustainable Logistics Systems , 2006 .

[35]  Allison Brown Farmers' market research 1940–2000: An inventory and review , 2002 .

[36]  Mark M. Davis,et al.  How disconfirmation, perception and actual waiting times impact customer satisfaction , 1998 .