Reducing food losses and carbon emission by using autonomous control - A simulation study of the intelligent container

被引:70
作者
Haass, Rasmus [1 ]
Dittmer, Patrick [2 ]
Veigt, Marius [2 ]
Luetjen, Michael [2 ]
机构
[1] Kuhne Nagel AG & Co KG, D-28217 Bremen, Germany
[2] BIBA Bremer Inst Prod & Logist GmbH, D-28359 Bremen, Germany
关键词
Perishable goods; Food waste; Intelligent Container; Quality driven distribution; Simulation; Rescheduling; TIME-WINDOWS; QUALITY; TRANSPORT; CHAIN;
D O I
10.1016/j.ijpe.2014.12.013
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
During the past decades bananas were imported to Europe in reefer vessels. Often, these vessels returned to Central America empty. This resulted in high carbon emissions and high costs. Therefore, importers switched to reefer containers which are shipped to Europe by liner cargo services. However, the amount of spoiled bananas increased with that change. Now a research project has developed the so called "Intelligent Container". This Intelligent Container is able to calculate the green life of its cargo and this leads to the feasibility of quality driven distribution. Thus, the losses of bananas should be decreased and both transport costs and carbon emissions be reduced even further. In this article we focus on the reduction of the food losses and the carbon emissions. To find the level of the reduction we conducted a computational simulation study. We used an existing distribution network and assumed that all shipped containers were "intelligent". Following the idea of the "Internet of Things" and "Autonomous Logistics" we developed an algorithm which enabled each container to make its own decisions, e.g. which route to take and to which customer it should be transported. The article describes this approach and the results of the simulation study. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:400 / 408
页数:9
相关论文
共 25 条
[11]   Sea transport of bananas in containers - Parameter identification for a temperature model [J].
Jedermann, Reiner ;
Geyer, Martin ;
Praeger, Ulrike ;
Lang, Walter .
JOURNAL OF FOOD ENGINEERING, 2013, 115 (03) :330-338
[12]  
Jenny G., 2011, Global food losses and food waste: Extent, causes and prevention, DOI DOI 10.4337/9781788975391
[13]   The "Intelligent Container"-A Cognitive Sensor Network for Transport Management [J].
Lang, Walter ;
Jedermann, Reiner ;
Mrugala, Damian ;
Jabbari, Amir ;
Krieg-Brueckner, Bernd ;
Schill, Kerstin .
IEEE SENSORS JOURNAL, 2011, 11 (03) :688-698
[14]   Quality driven distribution of intelligent containers in cold chain logistics networks [J].
Lütjen M. ;
Dittmer P. ;
Veigt M. .
Production Engineering, 2013, 7 (2-3) :291-297
[15]   Quality tracing in meat supply chains [J].
Mack, Miriam ;
Dittmer, Patrick ;
Veigt, Marius ;
Kus, Mehmet ;
Nehmiz, Ulfert ;
Kreyenschmidt, Judith .
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2014, 372 (2017)
[16]   A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food [J].
Osvald, Ana ;
Stirn, Lidija Zadnik .
JOURNAL OF FOOD ENGINEERING, 2008, 85 (02) :285-295
[17]   Modeling Logistic Performance in Quantitative Microbial Risk Assessment [J].
Rijgersberg, Hajo ;
Tromp, Seth ;
Jacxsens, Liesbeth ;
Uyttendaele, Mieke .
RISK ANALYSIS, 2010, 30 (01) :20-31
[18]   An optimization approach for managing fresh food quality throughout the supply chain [J].
Rong, Aiying ;
Akkerman, Renzo ;
Grunow, Martin .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2011, 131 (01) :421-429
[19]  
Scholz-Reiter B., 2004, Proceedings of the 37th CIRP International Seminar on Manufacturing Systems, P357
[20]   Systems for sustainability and transparency of food supply chains - Current status and challenges [J].
Wognum, P. M. ;
Bremmers, Harry ;
Trienekens, Jacques H. ;
van der Vorst, Jack G. A. J. ;
Bloemhof, Jacqueline M. .
ADVANCED ENGINEERING INFORMATICS, 2011, 25 (01) :65-76