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S. Okumura et al.
technique, in which products undergo an introductory stage, a growth stage, a maturity stage, and a decline stage depending on the elapsed time since shipment to the
market.
Firstly, the influence of the number of ordering for new manufacture on the total
cost by varying an ordering cost for newly manufactured products and an inventory
holding cost for the finished products has been examined. Then, we have found that
it is crucial to set the number of ordering for new manufacture carefully to each
life-cycle stage depending on the ordering cost and the inventory holding cost.
Secondly, the influence of the prediction accuracy of the demand and collection
quantities on the total cost has been investigated. When the ratio of the ordering
cost to the inventory holding cost has a substantial value, or as the life-cycle stage
is approaching the decline stage, the predicting accuracy of collection of the used
products and the product demand is needed to improve.
Thirdly, the conditions that lot production has a competitive advantage over continuous production have been analyzed considering an ordering cost for remanufactured
products involved in remanufacturing. Lot production is valid only for long ordering
interval of remanufacturing mainly for the growth stage.
Future efforts will be devoted to applying the model developed to actual products
and extending to the successor/related products to demonstrate the flexibility of the
model.
Acknowledgements This work was supported by JSPS KAKENHI Grant Numbers JP26340103
and JP17K00671.
References
Ahiska SS, King RE (2010) Life cycle inventory policy characterizations for a single-product
recoverable system. Int J Prod Econ 124:51–61
Bazan E, Jaber MY, Zanoni S (2016) A review of mathematical inventory models for reverse logistics
and the future of its modeling: an environmental perspective. Appl Math Model 40:4151–4178
Chung C-J, Wee H-M (2011) Short life-cycle deteriorating product remanufacturing in a green
supply chain inventory control system. Int J Prod Econ 129:195–203
Dobos I (2003) Optimal production-inventory strategies for a HMMS-type reverse logistics system.
Int J Prod Econ 81–82:351–360
El Saadany AMA, Jaber MY (2010) A production/remanufacturing inventory model with price and
quality dependant return rate. Comput Ind Eng 58:352–362
Hsueh C-F (2011) An inventory control model with consideration of remanufacturing and product
life cycle. Int J Prod Econ 133:645–652
Kiesmüller GP (2003) Optimal control of a one product recovery system with leadtimes. Int J Prod
Econ 81–82:333–340
Konstantaras I, Papachristos S (2007) Optimal policy and holding cost stability regions in a periodic review inventory system with manufacturing and remanufacturing options. Eur J Oper Res
178:433–448
Lage M Jr, Filho MG (2012) Production planning and control for remanufacturing: literature review
and analysis. Prod Plan Control 23:419–435
S. Okumura et al.
technique, in which products undergo an introductory stage, a growth stage, a maturity stage, and a decline stage depending on the elapsed time since shipment to the
market.
Firstly, the influence of the number of ordering for new manufacture on the total
cost by varying an ordering cost for newly manufactured products and an inventory
holding cost for the finished products has been examined. Then, we have found that
it is crucial to set the number of ordering for new manufacture carefully to each
life-cycle stage depending on the ordering cost and the inventory holding cost.
Secondly, the influence of the prediction accuracy of the demand and collection
quantities on the total cost has been investigated. When the ratio of the ordering
cost to the inventory holding cost has a substantial value, or as the life-cycle stage
is approaching the decline stage, the predicting accuracy of collection of the used
products and the product demand is needed to improve.
Thirdly, the conditions that lot production has a competitive advantage over continuous production have been analyzed considering an ordering cost for remanufactured
products involved in remanufacturing. Lot production is valid only for long ordering
interval of remanufacturing mainly for the growth stage.
Future efforts will be devoted to applying the model developed to actual products
and extending to the successor/related products to demonstrate the flexibility of the
model.
Acknowledgements This work was supported by JSPS KAKENHI Grant Numbers JP26340103
and JP17K00671.
References
Ahiska SS, King RE (2010) Life cycle inventory policy characterizations for a single-product
recoverable system. Int J Prod Econ 124:51–61
Bazan E, Jaber MY, Zanoni S (2016) A review of mathematical inventory models for reverse logistics
and the future of its modeling: an environmental perspective. Appl Math Model 40:4151–4178
Chung C-J, Wee H-M (2011) Short life-cycle deteriorating product remanufacturing in a green
supply chain inventory control system. Int J Prod Econ 129:195–203
Dobos I (2003) Optimal production-inventory strategies for a HMMS-type reverse logistics system.
Int J Prod Econ 81–82:351–360
El Saadany AMA, Jaber MY (2010) A production/remanufacturing inventory model with price and
quality dependant return rate. Comput Ind Eng 58:352–362
Hsueh C-F (2011) An inventory control model with consideration of remanufacturing and product
life cycle. Int J Prod Econ 133:645–652
Kiesmüller GP (2003) Optimal control of a one product recovery system with leadtimes. Int J Prod
Econ 81–82:333–340
Konstantaras I, Papachristos S (2007) Optimal policy and holding cost stability regions in a periodic review inventory system with manufacturing and remanufacturing options. Eur J Oper Res
178:433–448
Lage M Jr, Filho MG (2012) Production planning and control for remanufacturing: literature review
and analysis. Prod Plan Control 23:419–435