Program Integer Untuk Persoalan Perencanaan Terintegrasi Produksi Dan Distribusi Produk Ikan Dari Beberapa Plant
DAFTAR PUSTAKA
Abad, P. (2000). Optimal lot size for a perishable good under conditions of finite
production and partial backordering and lost sale. Computers & Industrial
Engineering, Vol. 38, pp 457-465.
Abad, P. (2003). Optimal pricing and lot-sizing under conditions of perishability,
finite production and partial backordering and lost sale. European Journal of
Operational Research, Vol. 144, pp 677-685.
Adam, F. and Sammon, D. (2004). The Enterprise Resource Planning Decade:
Lessons Learned and Issues for the Future. USA: Idea Group Publishing,
Idea Group Inc.
Akkerman, R., Farahani, P., and Grunow, M. (2010). Quality, safety and sustainability in food distribution: a review of quantitative operations management
approaches and challenges. OR Spectrum, Vol. 32(4), pp 863-904.
Amorim, P., Antunes, C. H., and Almada-Lobo, B. Multi-objective lot-sizing and
scheduling dealing with perishability issues. Industrial & Engineering Chemistry Research, Vol. 50(6), pp 3371-3381.
Arbib, C., Pacciarelli, D., and Smriglio, S. (1999). A three-dimensional match- ing
model for perishable production scheduling. Discrete Applied Mathematics,
Vol. 92(1), pp 1-15.
Armtzen, B.C., G.G. Brown, T.P. Harrison, and L.L.Trafton. (1995). Global supply
chain management at digital equipment corporation. Interfaces, Vol. 25, 69–
93.
Beamon, B. M. (1998). Supply chain design and analysis: Models and methods.
International Journal of Production Economics, Vol. 55(3), pp 281-294.
Bilgen, B. and I. Ozkarahan. (2004). Strategic tactical and operational productiondistribution models: a review. International Journal of Technology Management. Vol. 28(2), pp 151–171.
Cai, X., Chen, J., Xiao, Y., and Xu, X. (2008). Product selection, machine time
allocation, and scheduling decisions for manufacturing perishable products
subject to a deadline. Computers & Operations Research, Vol. 35(5), pp 16711683.
Chang, P.L. and Chou, Y.C. (2008). A Study of the Inventory Models for Perishable
Products in Aerospace Industry. In H. Phan, & T. Nakagawa (Ed.), 14th
ISSAT International Conference on Reliability and Quality in Design (pp.
219–223).
Chase, R.B. and F.R. Jacobs. (2010). Operations And Supply Chain Management:
The Core, Second Edition. McGraw-Hill.
Chen, H.-K., Hsueh, C.-F., and Chang, M.-S. (2009). Production scheduling and
vehicle routing with time windows for perishable food products. Computers
& Operations Research, Vol. 36(7), pp 2311-2319.
81
Universitas Sumatera Utara
82
Chen, J.-M. and Chen, T.-H. (2005). Effects of joint replenishment and channel
coordination for managing multiple deteriorating products in a supply chain.
Journal of the Operational Research Society, Vol. 56(10), pp 1224-1234.
Chen, K. and Ji, P. (2007). A Mixed Integer Programming Model for Advanced
Planning and Scheduling (APS). European Journal of Operational Research,
Vol. 181, pp 515–522.
Chen, Z.L. (2010). Integrated Production and Outbound Distribution Scheduling:
review and extension. Operations Research, Vol. 58. No.1, 130–148.
Chen, Z.L. and G. I. Varaktarakis. (2005). Integrated scheduling of production and
distribution operations. Management Science, Vol. 51, no. 4, 614–628.
Chowdhury, M. R. and B. R. Sarker. (2001). Manufacturing batch size and ordering
policy for products with shelf lives. Int. J. of Prod. Res. Vol. 39, pp 1405-1426.
Cohen, M.A. and H. L. Lee. (1988). Strategic analysis of integrated productiondistribution systems -models and methods. Oper. Res. Vol. 36, pp 216-228.
Cohen, M.A. and S. Moon. (1991). An integrated plant loading model with
economies of scale and scope. Eur. J. Oper. Res. Vol. 50, pp 266-279.
Corominas, A., Lusa, A. and Pastor, R. (2007). Planning Production and Working
Time Whithin an Annualised Hours Sheme Framework. Annals of Operations
Research, Vol. 155, pp 5-23.
Elmaghraby, S. (1978). The economic lot scheduling problem (ELSP): review and
extension. Management Science, Vol. 24, pp 587-597.
Entrup, M.L., Gunther, H.O., Van Beek, P., Grunow, M. and Seiler, T. (2005).
Mixed-Integer Linear Programming Approaches to Shelf- Life-Integrated
Planning and Scheduling in Yoghurt Production. International Journal of
Production Research, Vol. 43, pp 5071–5100.
Fahimnia, B., R. Zanjirani Farahani, R. Marian, and L. Luong. (2013). A review
and critique on integrated production-distribution planning models and techniques. Journal of Manufacturing Systems, vol. 32, no. 1, pp 1–19.
Faulin, J. (2003). Applying MIXALG procedure in a routing problem to op- timize
food product delivery. Omega, Vol. 31(5), pp 387-395.
Ferguson, M. and Koenigsberg, O. (2003). How should a firm manage deteri- orating inventory?. Production and Operations Management, Vol. 16(3), pp 306321.
Flapper, S., Fransoo, J., Broekmeulen, R., and Inderfurth, K. (2002). Pro-duction
planning and control of rework in the process industry. Production Planning
& Control, Vol.13(1), pp 26-34.
Floudas, C.A. and Lin, X. (2005). Mixed Integer Linear Programming in Process
Scheduling: Modeling, Algorithms, and Applications. Annals of Operations
Research, Vol. 139, 131–162.
Gajpal, Y. and M. Nourelfath. (2015). Two efficient heuristics to solve integrated load distribution and production planning. Reliability Engineering and
System Safety, Vol. 144, 204–214.
Universitas Sumatera Utara
83
Gawijnowicz, S. (2007). Scheduling deteriorating jobs subject to job or machine availability constraints. European Journal of Operational Research, Vol.
180(1), pp 472-478.
Ghare, P. and Schrader, G. (1963). A model for an exponentially decaying. Journal
of Industrial Engineering, Vol. 14, pp 238-243.
Goyal, S.K. and Viswanathan, S. (2002). Technical note: on manufacturing batch
size and ordering policy for products with shelf lives. Int. J. of Prod. Res.
Vol. 40, pp 1965-1970.
Goyal, S. (2003). The productioninventory problem of a product with time varying
demand, production and deterioration rates. European Journal of Operational
Research, Vol. 147(3), pp 549-557.
Hsu, V. (2003). An Economic Lot Size Model for Perishable Products with Age
Dependent Inventory and Backorder Costs. IIE Transactions, Vol. 35(8), pp
775-780.
Hsu, C.-I., Hung, S., and Li, H.-C. (2007). Vehicle routing problem with timewindows for perishable food delivery. Journal of Food Engineering, Vol. 80,
pp 465-75.
Indrajit, Richardus, E., and Djokropranoto. (2003). Konsep Manajemen Suppley
Chain: Cara Baru Memandang Mata Rantai Penyediaan Barang, Cetakan
ketiga, PT Gramedia Widiasarana Jakarta.
Jiang, J.C. and Chen, K. H. (2007). Development of a collaborative manufacturing,
planning, and scheduling system: Integrating lean and agile manufacturing
for the supply chain. Int. J. of Man. Vol. 24, pp 331–345.
Jolayemi, J.K. and F. O. Olorunniwo. (2004). A deterministic model for planning
production quantities in a multi-plant, multi-warehouse environment with
extensible capacities. International Journal of Production Economics, Vol.
87, pp 99–113.
Kallrath, J. (2002). Planning and Scheduling in the Process Industry. OR Spectrum,
Vol. 24, pp 219–250.
Kallrath, J. (2005). Solving Planning and Design Problems in the Process Industry Using Mixed Integer and Global Optimization. Annals of Operations
Research, Vol. 140, pp 339–373.
Kar, S., Bhunia, A., and Maiti, M. (2001). Inventory of multideteriorating items
sold from two shops under single management. Journal of Food Engineering,
Vol. 70, pp 2-9.
Kilcast, D. and Subramaniam, P. (2000). The stability and shelf-life of food. Woodhead: Cambridge.
Li, D., Kehoe, D., and Drake, P. (2006). Dynamic planning with a wireless product identification technology in food supply chains. International Journal of
Advanced Manufacturing Technology, Vol. 30(9/10), pp 938-944.
Lin, C. and Chen, H. (2003). Dynamic allocation of uncertain supply for the perishable commodity supply chain. International Journal of Production Research,
Vol. 41(13), pp 3119-3138.
Universitas Sumatera Utara
84
Liu, X. and Tu, T. (2008). Production planning with limited inventory capacity
and allowed stockout. International Journal of Production Economics, Vol.
111, pp 180–191.
Lutke Entrup, M., Gunther, H.-O., Van Beek, P., Grunow, M., and Seiler, T.
(2005). Mixed-Integer Linear Programming approaches to shelf-life- integrated planning and scheduling in yoghurt production. International Journal of
Production Research, Vol. 43(23), pp 5071-5100.
Manna, S. and Chaudhuri, K. (2001). An economic order quantity model for deteriorating items with time-dependent deterioration rate, demand rate, unit
production cost and shortages. International Journal of Systems Science, Vol.
32(8),1003-1009.
Marinelli, F., Nenni, M. E., and Sforza, A. (2007). Capacitated lot sizing and
scheduling with parallel machines and shared buffers: A case study in a
packaging company of Operations Research, Vol. 150(1), pp 177-192.
Matsatsinis, N. (2004). Towards a decision support system for the ready concrete
distribution system: a case of a greek company. European Journal of Operational Research, Vol. 152(2), pp 487-499.
Mawengkang, H. (2010). Production planning of fish processed product under uncertainy. Anziam J. 51 (EMAC2009) pp. C715-C733.
Michael, A.H, Ireland, R.D, and R.E. Hoskisson. (2001). Strategic Management
Concepts, Amazon App.
Minner, S., and Transchel, S. (2010), Periodic review inventory-control for perishable products under service-level constraints. OR Spectrum, Vol. 32(4), pp
979-996.
Mona, J., and Fitzsimmons. (2004). Service Management:Pperations, Strategy, and
Information Technology. McGraw-Hill.
Moreno, M. and Montagna, J. (2009). A multiperiod model for production planning
and design in a multiproduct batch enviroment. Mathematical and Computer
Modelling, Vol. 49, pp 1372–1385.
Nahmias, S. (1982). Perishable Inventory Theory: A Review. Operations Research,
Vol. 30, pp 680-708.
Naso, D., Surico, M., and Turchiano. (2007a). Reactive scheduling of a distributed
network for the supply of perishable products. IEEE Transactions on Automation Science and Engineering, Vol. 4(3), pp 407-423.
Naso, D., Surico, M., Turchiano, B., and Kaymak, U. (2007b). Genetic algo-rithms
for supply-chain scheduling: a case study in the distribution of ready-mixed
concrete. European Journal of Operational Research, Vol. 177(3), pp 69–99.
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LAMPIRAN
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Abad, P. (2000). Optimal lot size for a perishable good under conditions of finite
production and partial backordering and lost sale. Computers & Industrial
Engineering, Vol. 38, pp 457-465.
Abad, P. (2003). Optimal pricing and lot-sizing under conditions of perishability,
finite production and partial backordering and lost sale. European Journal of
Operational Research, Vol. 144, pp 677-685.
Adam, F. and Sammon, D. (2004). The Enterprise Resource Planning Decade:
Lessons Learned and Issues for the Future. USA: Idea Group Publishing,
Idea Group Inc.
Akkerman, R., Farahani, P., and Grunow, M. (2010). Quality, safety and sustainability in food distribution: a review of quantitative operations management
approaches and challenges. OR Spectrum, Vol. 32(4), pp 863-904.
Amorim, P., Antunes, C. H., and Almada-Lobo, B. Multi-objective lot-sizing and
scheduling dealing with perishability issues. Industrial & Engineering Chemistry Research, Vol. 50(6), pp 3371-3381.
Arbib, C., Pacciarelli, D., and Smriglio, S. (1999). A three-dimensional match- ing
model for perishable production scheduling. Discrete Applied Mathematics,
Vol. 92(1), pp 1-15.
Armtzen, B.C., G.G. Brown, T.P. Harrison, and L.L.Trafton. (1995). Global supply
chain management at digital equipment corporation. Interfaces, Vol. 25, 69–
93.
Beamon, B. M. (1998). Supply chain design and analysis: Models and methods.
International Journal of Production Economics, Vol. 55(3), pp 281-294.
Bilgen, B. and I. Ozkarahan. (2004). Strategic tactical and operational productiondistribution models: a review. International Journal of Technology Management. Vol. 28(2), pp 151–171.
Cai, X., Chen, J., Xiao, Y., and Xu, X. (2008). Product selection, machine time
allocation, and scheduling decisions for manufacturing perishable products
subject to a deadline. Computers & Operations Research, Vol. 35(5), pp 16711683.
Chang, P.L. and Chou, Y.C. (2008). A Study of the Inventory Models for Perishable
Products in Aerospace Industry. In H. Phan, & T. Nakagawa (Ed.), 14th
ISSAT International Conference on Reliability and Quality in Design (pp.
219–223).
Chase, R.B. and F.R. Jacobs. (2010). Operations And Supply Chain Management:
The Core, Second Edition. McGraw-Hill.
Chen, H.-K., Hsueh, C.-F., and Chang, M.-S. (2009). Production scheduling and
vehicle routing with time windows for perishable food products. Computers
& Operations Research, Vol. 36(7), pp 2311-2319.
81
Universitas Sumatera Utara
82
Chen, J.-M. and Chen, T.-H. (2005). Effects of joint replenishment and channel
coordination for managing multiple deteriorating products in a supply chain.
Journal of the Operational Research Society, Vol. 56(10), pp 1224-1234.
Chen, K. and Ji, P. (2007). A Mixed Integer Programming Model for Advanced
Planning and Scheduling (APS). European Journal of Operational Research,
Vol. 181, pp 515–522.
Chen, Z.L. (2010). Integrated Production and Outbound Distribution Scheduling:
review and extension. Operations Research, Vol. 58. No.1, 130–148.
Chen, Z.L. and G. I. Varaktarakis. (2005). Integrated scheduling of production and
distribution operations. Management Science, Vol. 51, no. 4, 614–628.
Chowdhury, M. R. and B. R. Sarker. (2001). Manufacturing batch size and ordering
policy for products with shelf lives. Int. J. of Prod. Res. Vol. 39, pp 1405-1426.
Cohen, M.A. and H. L. Lee. (1988). Strategic analysis of integrated productiondistribution systems -models and methods. Oper. Res. Vol. 36, pp 216-228.
Cohen, M.A. and S. Moon. (1991). An integrated plant loading model with
economies of scale and scope. Eur. J. Oper. Res. Vol. 50, pp 266-279.
Corominas, A., Lusa, A. and Pastor, R. (2007). Planning Production and Working
Time Whithin an Annualised Hours Sheme Framework. Annals of Operations
Research, Vol. 155, pp 5-23.
Elmaghraby, S. (1978). The economic lot scheduling problem (ELSP): review and
extension. Management Science, Vol. 24, pp 587-597.
Entrup, M.L., Gunther, H.O., Van Beek, P., Grunow, M. and Seiler, T. (2005).
Mixed-Integer Linear Programming Approaches to Shelf- Life-Integrated
Planning and Scheduling in Yoghurt Production. International Journal of
Production Research, Vol. 43, pp 5071–5100.
Fahimnia, B., R. Zanjirani Farahani, R. Marian, and L. Luong. (2013). A review
and critique on integrated production-distribution planning models and techniques. Journal of Manufacturing Systems, vol. 32, no. 1, pp 1–19.
Faulin, J. (2003). Applying MIXALG procedure in a routing problem to op- timize
food product delivery. Omega, Vol. 31(5), pp 387-395.
Ferguson, M. and Koenigsberg, O. (2003). How should a firm manage deteri- orating inventory?. Production and Operations Management, Vol. 16(3), pp 306321.
Flapper, S., Fransoo, J., Broekmeulen, R., and Inderfurth, K. (2002). Pro-duction
planning and control of rework in the process industry. Production Planning
& Control, Vol.13(1), pp 26-34.
Floudas, C.A. and Lin, X. (2005). Mixed Integer Linear Programming in Process
Scheduling: Modeling, Algorithms, and Applications. Annals of Operations
Research, Vol. 139, 131–162.
Gajpal, Y. and M. Nourelfath. (2015). Two efficient heuristics to solve integrated load distribution and production planning. Reliability Engineering and
System Safety, Vol. 144, 204–214.
Universitas Sumatera Utara
83
Gawijnowicz, S. (2007). Scheduling deteriorating jobs subject to job or machine availability constraints. European Journal of Operational Research, Vol.
180(1), pp 472-478.
Ghare, P. and Schrader, G. (1963). A model for an exponentially decaying. Journal
of Industrial Engineering, Vol. 14, pp 238-243.
Goyal, S.K. and Viswanathan, S. (2002). Technical note: on manufacturing batch
size and ordering policy for products with shelf lives. Int. J. of Prod. Res.
Vol. 40, pp 1965-1970.
Goyal, S. (2003). The productioninventory problem of a product with time varying
demand, production and deterioration rates. European Journal of Operational
Research, Vol. 147(3), pp 549-557.
Hsu, V. (2003). An Economic Lot Size Model for Perishable Products with Age
Dependent Inventory and Backorder Costs. IIE Transactions, Vol. 35(8), pp
775-780.
Hsu, C.-I., Hung, S., and Li, H.-C. (2007). Vehicle routing problem with timewindows for perishable food delivery. Journal of Food Engineering, Vol. 80,
pp 465-75.
Indrajit, Richardus, E., and Djokropranoto. (2003). Konsep Manajemen Suppley
Chain: Cara Baru Memandang Mata Rantai Penyediaan Barang, Cetakan
ketiga, PT Gramedia Widiasarana Jakarta.
Jiang, J.C. and Chen, K. H. (2007). Development of a collaborative manufacturing,
planning, and scheduling system: Integrating lean and agile manufacturing
for the supply chain. Int. J. of Man. Vol. 24, pp 331–345.
Jolayemi, J.K. and F. O. Olorunniwo. (2004). A deterministic model for planning
production quantities in a multi-plant, multi-warehouse environment with
extensible capacities. International Journal of Production Economics, Vol.
87, pp 99–113.
Kallrath, J. (2002). Planning and Scheduling in the Process Industry. OR Spectrum,
Vol. 24, pp 219–250.
Kallrath, J. (2005). Solving Planning and Design Problems in the Process Industry Using Mixed Integer and Global Optimization. Annals of Operations
Research, Vol. 140, pp 339–373.
Kar, S., Bhunia, A., and Maiti, M. (2001). Inventory of multideteriorating items
sold from two shops under single management. Journal of Food Engineering,
Vol. 70, pp 2-9.
Kilcast, D. and Subramaniam, P. (2000). The stability and shelf-life of food. Woodhead: Cambridge.
Li, D., Kehoe, D., and Drake, P. (2006). Dynamic planning with a wireless product identification technology in food supply chains. International Journal of
Advanced Manufacturing Technology, Vol. 30(9/10), pp 938-944.
Lin, C. and Chen, H. (2003). Dynamic allocation of uncertain supply for the perishable commodity supply chain. International Journal of Production Research,
Vol. 41(13), pp 3119-3138.
Universitas Sumatera Utara
84
Liu, X. and Tu, T. (2008). Production planning with limited inventory capacity
and allowed stockout. International Journal of Production Economics, Vol.
111, pp 180–191.
Lutke Entrup, M., Gunther, H.-O., Van Beek, P., Grunow, M., and Seiler, T.
(2005). Mixed-Integer Linear Programming approaches to shelf-life- integrated planning and scheduling in yoghurt production. International Journal of
Production Research, Vol. 43(23), pp 5071-5100.
Manna, S. and Chaudhuri, K. (2001). An economic order quantity model for deteriorating items with time-dependent deterioration rate, demand rate, unit
production cost and shortages. International Journal of Systems Science, Vol.
32(8),1003-1009.
Marinelli, F., Nenni, M. E., and Sforza, A. (2007). Capacitated lot sizing and
scheduling with parallel machines and shared buffers: A case study in a
packaging company of Operations Research, Vol. 150(1), pp 177-192.
Matsatsinis, N. (2004). Towards a decision support system for the ready concrete
distribution system: a case of a greek company. European Journal of Operational Research, Vol. 152(2), pp 487-499.
Mawengkang, H. (2010). Production planning of fish processed product under uncertainy. Anziam J. 51 (EMAC2009) pp. C715-C733.
Michael, A.H, Ireland, R.D, and R.E. Hoskisson. (2001). Strategic Management
Concepts, Amazon App.
Minner, S., and Transchel, S. (2010), Periodic review inventory-control for perishable products under service-level constraints. OR Spectrum, Vol. 32(4), pp
979-996.
Mona, J., and Fitzsimmons. (2004). Service Management:Pperations, Strategy, and
Information Technology. McGraw-Hill.
Moreno, M. and Montagna, J. (2009). A multiperiod model for production planning
and design in a multiproduct batch enviroment. Mathematical and Computer
Modelling, Vol. 49, pp 1372–1385.
Nahmias, S. (1982). Perishable Inventory Theory: A Review. Operations Research,
Vol. 30, pp 680-708.
Naso, D., Surico, M., and Turchiano. (2007a). Reactive scheduling of a distributed
network for the supply of perishable products. IEEE Transactions on Automation Science and Engineering, Vol. 4(3), pp 407-423.
Naso, D., Surico, M., Turchiano, B., and Kaymak, U. (2007b). Genetic algo-rithms
for supply-chain scheduling: a case study in the distribution of ready-mixed
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