How to cite this paper
Sudtachat, K., Chanta, S & Saengsathien, A. (2023). Periodic blood inventory system with two supplies and two priority demand classes.International Journal of Industrial Engineering Computations , 14(2), 201-220.
Refrences
American Red Cross, Facts About Blood Needs (2021). Accessed on 2 August 2021. https://www.redcrossblood.org.
Arani, M., Chan, Y., Liu, X. & Momenitabar, M. (2021). A lateral resupply blood supply chain network design under uncertainties. Applied Mathematical Modelling, 93, 165-187.
Bakker, M., Jan, R. & Ruud, H. T. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2), 275-284.
Chazan, D. & Gal, S. (1977). A markovian model for a perishable product inventory. Management Science, 23(5), 512-521.
Chiu, H. N. (1995). A heuristic (R, T) periodic review perishable inventory model with lead times. International Journal of Production Economics, 42(1), 1-15.
Civelek, I., Karaesmen, I. & Scheller-Wolf, A. (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243(3), 826-838.
Cohen, M. A. (1976). Analysis of single critical number ordering policies for perishable inventory. Operations Research, 24(4), 726-741.
Cooper, W. L. (2001). Path wish properties and performance bounds for a perishable inventory system. Operation Research, 49(3), 455-466.
Daroudi, S., Kazemipoor, H., Najafi, H. & Fallah, M. (2021). The minimum latency in location routing fuzzy inventory problem for perishable multi-product materials. Applied Soft Computing, 110, 107543.
Dai, Z., Gao, K. & Zheng, X. (2020). Optimizing two multi-echelon inventory systems for perishable products with price and stock dependent demand in supply chain. Scientia Iranica E, 29(1), 320-342.
Dillon, M., Oliveira, F. & Abbasia, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27-41.
Dillon, M., Oliveira, F. & Abbasi, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27-41.
Gitinavard, H., Ghodsypour, S. H. & Shirazi, M.A. (2019). A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty. Scientia Iranica E, 26(5), 2952-2970.
Gunpinar, S.& Centeno, G. (2015). Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research, 54, 129-141.
Gupta, A. M., Ojha, S., Nagaraju, P., Poojary, M., Sumathi, S. H., Sathyan, V. & Ansari, A. (2021). Impact of the novel coronavirus disease and lockdown on the packed red blood cells inventory management: An experience from a tertiary care oncology center in Western India. Hematology, Transfusion and Cell Therapy, 43(2), 126-132 .
Haijema, R., Wal, J. & Dijk, N. M. (2007). Blood platelet production: Optimization by dynamic programming and simulation. Computers and Operations Research, 34(3), 760-779.
Heidari-Fathian, H. & Pasandideh, S. H. R. (2018). Green-blood supply chain network design: Robust optimization, bounded objective function & Lagrangian relaxation. Computers & Industrial Engineering, 122, 95-105.
Hosseinifard, Z. & Abbasi, B. (2018). The inventory centralization impacts on sustainability of the bloodsupply chain. Computers & Operations Research, 89, 206-212.
Janssena, L., Diabat, A., Sauerd, J. & Herrmann, F. (2018). A stochastic micro-periodic age-based inventory replenishment policy for perishable goods. Transportation Research Part E, 118, 445-465.
Karaesmen, I. Z., Alan, S. & Borga, D. (2011). Managing perishable and aging inventories: review and future research directions, In Planning production and inventories in the extended enterprise, Springer, New York, NY, 393-436.
Kouki, C., Sahin, E., Jemai, Z. & Dallery, Y. (2010). Periodic review inventory policy for perishables with random lifetime, 8th International conference of modeling and simulation.
Liu, W., Ke, G. Y., Chen, J. & Zhang, L. (2020). Scheduling the distribution of blood products: A vendor-managed inventory routing approach. Transportation Research Part E: Logistics and Transportation Review, 140, 101964.
Lowalekar, H. & Ravic, R. R. (2017). Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study. International Journal of Production Economics, 186, 89-122.
Meng, Q., Guo, Y. & Zhang, X., (2021). Mitigation strategies for expiration in perishable emergency inventory system. Computers & Industrial Engineering, 157, 107336.
Minner, S. & Transchel, S. (2010). Periodic review inventory-control for perishable products under service-level constraints. OR Spectrum, 32(4), 979-996.
Mokhtar, S., Bahri, P.A. & Shahnazari, M. (2021). Inventory strategy development under supply disruption risk. Computers & Industrial Engineering, 161, 107662.
Montgomery, C. D. (1997). Design and Analysis of Experiments, 5th Edition., John Wiley & Sons, Inc., 456-466.
Nahmias, S. (1975). Ordering policies for perishable inventory II. Operations Research, 23(4), 735-749.
Nahmias, S. (1976). Approximations for the perishable inventory problem. Management Science, 22(9), 1002-1008.
Nahmias, S. (1978). The fixed-charge perishable inventory problem. Operations Research, 26(3), 464-481.
Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4), 680-708.
Nahmias, S. (2011). Perishable inventory systems. Springer Science & Business Media, Vol. 160.
Nahmias, S. (1977). On ordering perishable inventory when both demand and lifetime are random. Management Science, 24(1), 82-90.
Nahmias, S. & Schmidt, C. P. (1986). An application of the theory of weak convergence to the dynamic perishable inventory. Mathematics of Operations Research, 11(1), 62-69.
Nandakumar, P. & Morton, T. E. (1993). Near myopic heuristics for the fixed-life perishability problem. Management science, 39(12), 1490-1498.
Ng, M. S. Y., David, M., Middelburg, R. A., Ng, A. S. Y., Suen, J. Y., Tung, J. & Fraser, J. F. (2018). Transfusion of packed red blood cells at the end of shelf life is associated with increased risk of mortality – a pooled patient data analysis of 16 observational trials. Haematologica, 109(9), 1542-1548.
Pierskalla, W. P. (1972). Optimal issuing policies for perishable inventory. Management science, 18(11), 603-614.
Prastacos, G. P. (1984). Blood inventory management: an overview of theory and practice. Management science, 30(7), 777-800.
Rajendran, S. & Ravindran, A. R. (2017). Platelet ordering policies at hospitals using stochastic integer programming model and heuristic approaches to reduce wastage. Computers & Industrial Engineering, 110, 151-164.
Sohrabi, M., Zandieh, M. & Afshar-Nadjafi, B. An equity-oriented multi-objective inventory management model for blood banks considering the patient condition: A real-life case. Articles in Press, Scientia Iran, Available Online from 07 July 2021.
The American Red Cross, Facts About Blood Needs (2021). Accessed on 2 August 2021, https://www.redcrossblood.org.
Williams, C. L. & Patuwo, B. E. (1999). A perishable inventory model with positive order lead times. European Journal of Operational Research, 116(2), 352-373.
Yavari, M., Enjavi, H., & Geraeli, M., (2020). Demand management to cope with routes disruptions in location-inventory routing problem for perishable products. Research in Transportation Business & Management, 37, 100552.
Zahiri, B., Torabi, S. A., Mousazadeh, M. & Mansouri, S. A. (2015). Blood collection management: Methodology and application. Applied Mathematical Modelling, 39(23-24), 7680-7696.
Zhou, Y., Zou, T., Liu, C., Yu, H., Chen, L. & Su, L. (2021). Blood supply chain operation considering lifetime and transshipment under uncertain environment. Applied Soft Computing, 106, 107364.
Arani, M., Chan, Y., Liu, X. & Momenitabar, M. (2021). A lateral resupply blood supply chain network design under uncertainties. Applied Mathematical Modelling, 93, 165-187.
Bakker, M., Jan, R. & Ruud, H. T. (2012). Review of inventory systems with deterioration since 2001. European Journal of Operational Research, 221(2), 275-284.
Chazan, D. & Gal, S. (1977). A markovian model for a perishable product inventory. Management Science, 23(5), 512-521.
Chiu, H. N. (1995). A heuristic (R, T) periodic review perishable inventory model with lead times. International Journal of Production Economics, 42(1), 1-15.
Civelek, I., Karaesmen, I. & Scheller-Wolf, A. (2015). Blood platelet inventory management with protection levels. European Journal of Operational Research, 243(3), 826-838.
Cohen, M. A. (1976). Analysis of single critical number ordering policies for perishable inventory. Operations Research, 24(4), 726-741.
Cooper, W. L. (2001). Path wish properties and performance bounds for a perishable inventory system. Operation Research, 49(3), 455-466.
Daroudi, S., Kazemipoor, H., Najafi, H. & Fallah, M. (2021). The minimum latency in location routing fuzzy inventory problem for perishable multi-product materials. Applied Soft Computing, 110, 107543.
Dai, Z., Gao, K. & Zheng, X. (2020). Optimizing two multi-echelon inventory systems for perishable products with price and stock dependent demand in supply chain. Scientia Iranica E, 29(1), 320-342.
Dillon, M., Oliveira, F. & Abbasia, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27-41.
Dillon, M., Oliveira, F. & Abbasi, B. (2017). A two-stage stochastic programming model for inventory management in the blood supply chain. International Journal of Production Economics, 187, 27-41.
Gitinavard, H., Ghodsypour, S. H. & Shirazi, M.A. (2019). A bi-objective multi-echelon supply chain model with Pareto optimal points evaluation for perishable products under uncertainty. Scientia Iranica E, 26(5), 2952-2970.
Gunpinar, S.& Centeno, G. (2015). Stochastic integer programming models for reducing wastages and shortages of blood products at hospitals. Computers & Operations Research, 54, 129-141.
Gupta, A. M., Ojha, S., Nagaraju, P., Poojary, M., Sumathi, S. H., Sathyan, V. & Ansari, A. (2021). Impact of the novel coronavirus disease and lockdown on the packed red blood cells inventory management: An experience from a tertiary care oncology center in Western India. Hematology, Transfusion and Cell Therapy, 43(2), 126-132 .
Haijema, R., Wal, J. & Dijk, N. M. (2007). Blood platelet production: Optimization by dynamic programming and simulation. Computers and Operations Research, 34(3), 760-779.
Heidari-Fathian, H. & Pasandideh, S. H. R. (2018). Green-blood supply chain network design: Robust optimization, bounded objective function & Lagrangian relaxation. Computers & Industrial Engineering, 122, 95-105.
Hosseinifard, Z. & Abbasi, B. (2018). The inventory centralization impacts on sustainability of the bloodsupply chain. Computers & Operations Research, 89, 206-212.
Janssena, L., Diabat, A., Sauerd, J. & Herrmann, F. (2018). A stochastic micro-periodic age-based inventory replenishment policy for perishable goods. Transportation Research Part E, 118, 445-465.
Karaesmen, I. Z., Alan, S. & Borga, D. (2011). Managing perishable and aging inventories: review and future research directions, In Planning production and inventories in the extended enterprise, Springer, New York, NY, 393-436.
Kouki, C., Sahin, E., Jemai, Z. & Dallery, Y. (2010). Periodic review inventory policy for perishables with random lifetime, 8th International conference of modeling and simulation.
Liu, W., Ke, G. Y., Chen, J. & Zhang, L. (2020). Scheduling the distribution of blood products: A vendor-managed inventory routing approach. Transportation Research Part E: Logistics and Transportation Review, 140, 101964.
Lowalekar, H. & Ravic, R. R. (2017). Revolutionizing blood bank inventory management using the TOC thinking process: An Indian case study. International Journal of Production Economics, 186, 89-122.
Meng, Q., Guo, Y. & Zhang, X., (2021). Mitigation strategies for expiration in perishable emergency inventory system. Computers & Industrial Engineering, 157, 107336.
Minner, S. & Transchel, S. (2010). Periodic review inventory-control for perishable products under service-level constraints. OR Spectrum, 32(4), 979-996.
Mokhtar, S., Bahri, P.A. & Shahnazari, M. (2021). Inventory strategy development under supply disruption risk. Computers & Industrial Engineering, 161, 107662.
Montgomery, C. D. (1997). Design and Analysis of Experiments, 5th Edition., John Wiley & Sons, Inc., 456-466.
Nahmias, S. (1975). Ordering policies for perishable inventory II. Operations Research, 23(4), 735-749.
Nahmias, S. (1976). Approximations for the perishable inventory problem. Management Science, 22(9), 1002-1008.
Nahmias, S. (1978). The fixed-charge perishable inventory problem. Operations Research, 26(3), 464-481.
Nahmias, S. (1982). Perishable inventory theory: A review. Operations Research, 30(4), 680-708.
Nahmias, S. (2011). Perishable inventory systems. Springer Science & Business Media, Vol. 160.
Nahmias, S. (1977). On ordering perishable inventory when both demand and lifetime are random. Management Science, 24(1), 82-90.
Nahmias, S. & Schmidt, C. P. (1986). An application of the theory of weak convergence to the dynamic perishable inventory. Mathematics of Operations Research, 11(1), 62-69.
Nandakumar, P. & Morton, T. E. (1993). Near myopic heuristics for the fixed-life perishability problem. Management science, 39(12), 1490-1498.
Ng, M. S. Y., David, M., Middelburg, R. A., Ng, A. S. Y., Suen, J. Y., Tung, J. & Fraser, J. F. (2018). Transfusion of packed red blood cells at the end of shelf life is associated with increased risk of mortality – a pooled patient data analysis of 16 observational trials. Haematologica, 109(9), 1542-1548.
Pierskalla, W. P. (1972). Optimal issuing policies for perishable inventory. Management science, 18(11), 603-614.
Prastacos, G. P. (1984). Blood inventory management: an overview of theory and practice. Management science, 30(7), 777-800.
Rajendran, S. & Ravindran, A. R. (2017). Platelet ordering policies at hospitals using stochastic integer programming model and heuristic approaches to reduce wastage. Computers & Industrial Engineering, 110, 151-164.
Sohrabi, M., Zandieh, M. & Afshar-Nadjafi, B. An equity-oriented multi-objective inventory management model for blood banks considering the patient condition: A real-life case. Articles in Press, Scientia Iran, Available Online from 07 July 2021.
The American Red Cross, Facts About Blood Needs (2021). Accessed on 2 August 2021, https://www.redcrossblood.org.
Williams, C. L. & Patuwo, B. E. (1999). A perishable inventory model with positive order lead times. European Journal of Operational Research, 116(2), 352-373.
Yavari, M., Enjavi, H., & Geraeli, M., (2020). Demand management to cope with routes disruptions in location-inventory routing problem for perishable products. Research in Transportation Business & Management, 37, 100552.
Zahiri, B., Torabi, S. A., Mousazadeh, M. & Mansouri, S. A. (2015). Blood collection management: Methodology and application. Applied Mathematical Modelling, 39(23-24), 7680-7696.
Zhou, Y., Zou, T., Liu, C., Yu, H., Chen, L. & Su, L. (2021). Blood supply chain operation considering lifetime and transshipment under uncertain environment. Applied Soft Computing, 106, 107364.