Age-based inventory control in a multi-echelon system with emergency replenishments

This paper deals with a two-echelon spare parts inventory system with one central warehouse and a number of local warehouses facing Poisson demand. Normally, the local warehouses replenish stock from the central warehouse. However, if a demand cannot be satisfied within a pre-determined time window, an emergency shipment is requested from an outside supplier. Moreover, as in practice, this outside emergency supplier may not have ample capacity at the moment when the order was requested. This means that it is not always possible to realize such an emergency shipment within the stipulated time window. In many cases there are service agreements between the spare parts provider and the customer, that state the penalty cost if a customer demand is not met within an acceptable time window. The cost structure of such penalties is typically non-linear, and in this setting we consider piecewise constant penalty costs. That is, in cases where it is not possible to realize an emergency shipment from the outside supplier, a significant fixed cost is incurred. From a sustainability perspective, we also consider the production waste that arises from production stops when the time window is exceeded, and unplanned production stops lead to waste of perishable raw materials. We quantify the expected total CO2 emissions related to production waste and transportations connected to emergency shipments. In particular we show that it is important to take a more holistic view on CO2 emissions, and not only consider emissions related to transportation (as in most of the related literature).

[1]  Sven Axsäter,et al.  Production , Manufacturing and Logistics A real-time decision rule for an inventory system with committed service time and emergency orders , 2011 .

[2]  Sven Axsäter,et al.  Simple Solution Procedures for a Class of Two-Echelon Inventory Problems , 1990, Oper. Res..

[3]  Ivo J. B. F. Adan,et al.  Approximate evaluation of multi-location inventory models with lateral transshipments and hold back levels , 2012, Eur. J. Oper. Res..

[4]  Ruud H. Teunter,et al.  Inventory models with lateral transshipments: A review , 2011, Eur. J. Oper. Res..

[5]  Kamran Moinzadeh,et al.  An (S - 1, S) Inventory System with Emergency Orders , 1991, Oper. Res..

[6]  Tarkan Tan,et al.  Inventory Control in a Spare Parts Distribution System with Emergency Stocks and Pipeline Information , 2015, Manuf. Serv. Oper. Manag..

[7]  Kamran Moinzadeh,et al.  An Information Based Multiechelon Inventory System with Emergency Orders , 1997, Oper. Res..

[8]  David D. Yao,et al.  A Supply Network Model with Base-Stock Control and Service Requirements , 2000, Oper. Res..

[9]  Sven Axsäter,et al.  A New Decision Rule for Lateral Transshipments in Inventory Systems , 2003, Manag. Sci..

[10]  Paul R. Kleindorfer,et al.  Optimal stocking policies for low usage items in multi‐echelon inventory systems , 1986 .

[11]  Dirk Cattrysse,et al.  Efficient heuristics for two-echelon spare parts inventory systems with an aggregate mean waiting time constraint per local warehouse , 2007, OR Spectr..

[12]  Sven Axsäter,et al.  A distribution inventory model with transshipments from a support warehouse , 2013 .

[13]  Patrik Alfredsson,et al.  Modeling emergency supply flexibility in a two-echelon inventory system , 1999 .

[14]  Sven Axsäter,et al.  Supply Chain Operations: Serial and Distribution Inventory Systems , 2003, Supply Chain Management.

[15]  Sven Axsäter,et al.  Service Parts Inventory Control with Lateral Transshipment and Pipeline Stock Flexibility , 2013 .

[16]  Stephen C. Graves,et al.  A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment , 1985 .

[17]  Peter L. Jackson,et al.  Optimizing Service Parts Inventory in a Multiechelon, Multi-Item Supply Chain with Time-Based Customer Service-Level Agreements , 2007, Oper. Res..

[18]  Fredrik Olsson,et al.  Production , Manufacturing and Logistics Emergency lateral transshipments in a two-location inventory system with positive transshipment leadtimes , 2014 .

[19]  Johan Marklund,et al.  Green Inventory Management , 2017 .

[20]  D. Griffel Applied functional analysis , 1982 .

[21]  Fredrik Olsson,et al.  Ergodicity of age-dependent inventory control systems , 2016, J. Appl. Probab..

[22]  Michael Dreyfuss,et al.  Optimal spares allocation to an exchangeable-item repair system with tolerable wait , 2017, Eur. J. Oper. Res..

[23]  van Geert-Jan Geert-Jan Houtum,et al.  System-oriented inventory models for spare parts , 2014 .

[24]  Craig C. Sherbrooke,et al.  Metric: A Multi-Echelon Technique for Recoverable Item Control , 1968, Oper. Res..

[25]  Felix K. Adom,et al.  Greenhouse gas emissions from milk production and consumption in the United States: A cradle-to-grave life cycle assessment circa 2008 , 2013 .

[26]  Fredrik Olsson,et al.  Quantifying sustainable control of inventory systems with non-linear backorder costs , 2017, Ann. Oper. Res..

[27]  Matthieu van der Heijden,et al.  On two-echelon inventory systems with Poisson demand and lost sales , 2014, Eur. J. Oper. Res..

[28]  Wallace J. Hopp,et al.  An easily implementable hierarchical heuristic for a two-echelon spare parts distribution system , 1999 .

[29]  A. A. Kranenburg,et al.  A new partial pooling structure for spare parts networks , 2009, Eur. J. Oper. Res..

[30]  Alan McKinnon,et al.  Green Logistics : the Carbon Agenda , 2010 .

[31]  Jonas Andersson,et al.  A two-echelon inventory model with lost sales , 2001 .

[32]  David Simchi-Levi,et al.  Two-echelon spare parts inventory system subject to a service constraint , 2004 .

[33]  Geert-Jan van Houtum,et al.  A new approximate evaluation method for two-echelon inventory systems with emergency shipments , 2015, Ann. Oper. Res..

[34]  J. Grandell Doubly stochastic Poisson processes , 1976 .

[35]  Jing-Sheng Song,et al.  Inventories with Multiple Supply Sources and Networks of Queues with Overflow Bypasses , 2009, Manag. Sci..