A systematic approach to preventing chilled-food waste at the retail outlet

The objective of this paper is to develop a systematic overview of interventions for preventing chilled-food waste at retail outlets, and to assess the impact of these interventions for a particular case of fresh-cut iceberg lettuce at a Dutch retail outlet. The structure of the simulation model as presented in this paper is generic, hence suitable for other retailers and other chilled-food products as well. The generated systematic overview focusses on interventions that do not require a system change. A distinction is made into technical, logistical and marketing interventions. Model simulations show the effectiveness of these interventions. It is concluded that a number of ‘waste drivers’ exists, such as a low and varying consumer demand, high selection behaviour, the order lead time, a fixed order unit, and a short use-by date. The retailer can fine-tune the replenishment level of his order policy and the way of rounding to the given order unit, but by doing so he is at best able to exchange waste for out-of-stock or the other way around. The systematic overview of interventions is valuable input to future research on defining and estimating the effectiveness of combining interventions, and interventions that do require a system change.

[1]  S. O. Tromp,et al.  On the prediction of the remaining vase life of cut roses , 2012 .

[2]  Marshall L. Fisher,et al.  Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application , 2007, Oper. Res..

[3]  Per-Anders Hansson,et al.  Food waste reduction in supermarkets – Net costs and benefits of reduced storage temperature , 2016 .

[4]  Jc Jan Fransoo,et al.  Inventory control of perishables in supermarkets , 2006 .

[5]  J. Buzby,et al.  The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States , 2014 .

[6]  Rene Haijema,et al.  Optimal ordering, issuance and disposal policies for inventory management of perishable products , 2014 .

[7]  Nitaigour P. Mahalik,et al.  Trends in food packaging and manufacturing systems and technology , 2010 .

[8]  Karel H. van Donselaar,et al.  A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand , 2009, Comput. Oper. Res..

[9]  Lisa M. Ellram,et al.  Causes of waste across multi-tier supply networks: Cases in the UK food sector , 2014 .

[10]  J. Parfitt,et al.  Food waste within food supply chains: quantification and potential for change to 2050 , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[11]  Stefan Minner,et al.  Stock-level dependent ordering of perishables: A comparison of hybrid base-stock and constant order policies , 2016 .

[12]  Wilma E Waterlander,et al.  The virtual supermarket: An innovative research tool to study consumer food purchasing behaviour , 2011, BMC public health.

[13]  R. Haijema A new class of stock-level dependent ordering policies for perishables with a short maximum shelf life (Online first) , 2013 .

[14]  Hau L. Lee,et al.  Mitigating supply chain risk through improved confidence , 2004 .

[15]  Jean C. Buzby,et al.  The Value of Retail‐ and Consumer‐Level Fruit and Vegetable Losses in the United States , 2011 .

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

[17]  Ole Jørgen Hanssen,et al.  Initiatives on prevention of food waste in the retail and wholesale trades , 2011 .

[18]  L. Tijskens,et al.  A generic model for keeping quality of vegetable produce during storage and distribution , 1996 .

[19]  Theodore P. Labuza,et al.  Shelf-life prediction: theory and application , 1993 .

[20]  Hajo Rijgersberg,et al.  Retail benefits of dynamic expiry dates—Simulating opportunity losses due to product loss, discount policy and out of stock , 2012 .

[21]  Xiaojun Wang,et al.  A dynamic product quality evaluation based pricing model for perishable food supply chains , 2012 .

[22]  Kh Karel van Donselaar,et al.  Approximations for the relative outdating of perishable products by combining stochastic modeling, simulation and regression modeling , 2012 .

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

[24]  Theodore P. Labuza,et al.  Application of chemical kinetics to deterioration of foods , 1984 .

[25]  Wilma E Waterlander,et al.  The effects of a 25% discount on fruits and vegetables: results of a randomized trial in a three-dimensional web-based supermarket , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[26]  J. Sebranek,et al.  Feeding the World Today and Tomorrow: The Importance of Food Science and Technology: An IFT Scientific Review. , 2010, Comprehensive reviews in food science and food safety.

[27]  H. Harkema,et al.  Modelling the quality of potted plants after dark storage , 2015 .

[28]  N. G. Wright,et al.  The food waste hierarchy as a framework for the management of food surplus and food waste , 2014 .

[29]  L. Lytle,et al.  Development and validation of a screening instrument to assess the types and quality of foods served at home meals , 2012, International Journal of Behavioral Nutrition and Physical Activity.

[30]  Jean C. Buzby,et al.  Total and per capita value of food loss in the United States , 2012 .

[31]  Carlos Mena,et al.  The causes of food waste in the supplier–retailer interface: Evidences from the UK and Spain , 2011 .

[32]  Hajo Rijgersberg,et al.  Modeling Logistic Performance in Quantitative Microbial Risk Assessment , 2010, Risk analysis : an official publication of the Society for Risk Analysis.

[33]  R. Hodges,et al.  FORESIGHT PROJECT ON GLOBAL FOOD AND FARMING FUTURES Postharvest losses and waste in developed and less developed countries: opportunities to improve resource use* , 2010 .

[34]  Randy Kobes,et al.  Effects of vaccination and population structure on influenza epidemic spread in the presence of two circulating strains , 2011, BMC public health.

[35]  Hlpe Nutrition and food systems: A report by the High Level Panel of Experts on Food Security and Nutrition of the Committee on World Food Security, Rome. , 2017 .

[36]  Raymond Chang,et al.  Physical chemistry with applications to biological systems , 1977 .

[37]  Ismail Uysal,et al.  Reducing food losses by intelligent food logistics , 2014, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[38]  Stewart Robinson,et al.  The application of discrete event simulation and system dynamics in the logistics and supply chain context , 2012, Decis. Support Syst..

[39]  Riikka Kaipia,et al.  Creating Sustainable Fresh Food Supply Chains through Waste Reduction , 2013 .