КООРДИНАЦІЯ ЛАНЦЮГА ПОСТАЧАННЯ:НАУКОВО-МЕТОДИЧНІ ПІДХОДИ
Анотація
Ключовим завданням логістичної підтримки транспортно-експедиторських робіт є підвищення рівня координації наскрізного потокового процесу всіх етапах його проходження. Ключове завдання управління інтегрованими бізнес-процесами полягає в їхній логістичній координації. Основним завданням координації ланцюгів доставок є забезпечення максимальної оптимізації процесу та мінімізації змін системи з часом. Розроблена система повинна бути адаптивна як до не запланованих змін, так і до системної модернізації зі збереженням своєї ефективності або її збільшенням. Ефективним інструментом побудови транспортного ланцюга та його регулювання є підписання контракту, що забезпечить централізовану роботу структурно не пов’язаних учасників транспортування. Контрактний підхід дозволяє динамічно змінювати свої замовлення в різні періоди, що забезпечує ефективну роботу як виробника, так і покупця, який, у разі замовлення, наприклад, пакувальних матеріалів чи інгредієнтів, може орієнтуватися на зміни попиту кінцевого споживача і ефективно використовувати власні ресурси.
Посилання
Sirias D., Mehra S. Quantity discount versus lead time-dependent discount in an inter-organizational supply chain. International Journal of Production Research. 2005. Vol. 43(16). Р. 3481¬3496.
Klastorin T.D., Moinzadeh K., Son J. Coordinating orders in supply chains through price discounts. IIE Transactions. 2002. Vol. 34(8). P. 679¬689.
Mishra A.K. Selective discount for supplier–buyer coordination using common replenishment epochs. European Journal of Operational Research. 2004. Vol. 153(3). P. 751-756.
Weng Z.K. The power of coordinated decisions for short-life-cycle products in a manufacturing and distribution supply chain. IIE Transactions. 1999. Vol. 31(11). P. 1037¬1049.
Cachon G.P. Managing supply chain demand variability with scheduled ordering policies. Management Science. 1999. Vol. 45 (6). P. 843-856.
Das T.K., Teng B.S. A resource based theory of strategic alliance. Journal of Management. 2000. Vol. 26 (1). P. 31¬61.
Bahinipati B.K., Kanda A., Deshmukh S.G. Coordinated supply management: review, insights, and limitations. International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management. 2009. Vol. 12:6. P. 407¬422.
Tsay A. The quantity flexibility contract and supplier-customer incentives. Management Science. 1999. Vol. 45(10). P. 1339¬1358.
Giannoccaro I., Pontrandolfo P. Supply chain coordination by revenue sharing contracts. International Journal of Production Economics. 2004. Vol. 89(2). P. 131-139.
Wang Q., Tsao D. Supply contract with bidirectional options: the buyer’s perspective. International Journal of Production Economics. 2006. Vol. 101(1). P. 30¬52.
Tibben-Lembke R.S. N-period contracts with ordering constraints and total minimum commitments: optimal and heuristic solutions. European Journal of Operational Research. 2004. Vol. 156(2). P. 353¬374.
Spinler S., Huchzermeier A. The valuation of options on capacity with cost and demand uncertainty. European Journal of Operational Research. 2006. Vol. 171(1). P. 915¬934.
Corbett C.J., DeCroix G.A. Shared-savings contracts for indirect materials in supply chains: channel profits and environmental impacts. Management Science. 2001. Vol. 47 (7). P. 881¬893.
Chen J., Xu L. Coordinated ordering decisions for short life cycle products with uncertainty in delivery time and demand. IEEE Transactions on Systems, Man, and Cybernetics. 2001. Vol. 31 (6). P. 524-532.
Sterman J. Modelling managerial behaviour: misperceptions of feedback in a dynamic decision making experiment. Management Science. 1989. Vol. 35(3). P. 321¬339.
Lee H.L, Padmanahan V., Whang S. Information distortion in a supply chain: the bullwhip effect. Management Science. 1997. Vol. 43(4). P. 546¬559.
Owens S.F., Levary R.R. Evaluating the impact of electronic data interchange on the ingredient supply chain of a food processing company. Supply Chain Management. An International Journal. 2002. Vol. 7(4). P. 200-211.
Hieber R., Hartel I. Impacts of SCM order strategies evaluated by simulation-based ‘beer game’ approach: the model, concept, and initial experiences. Production Planning & Control. 2003. Vol. 14 (2). P. 122¬134.
Jansen D.R. Simulation model of multi-compartment distribution in the catering supply chain. European Journal of Operational Research. 2001. Vol. 133 (1). P. 210¬224.
Manzini R. Simulation performance in the optimisation of the supply chain. Journal of Manufacturing Technology Management. 2005. Vol. 16(2). P. 127¬144.
Lin F.-R., Huang S.-H., Lin S.-C. Effects of information sharing on supply chain performance in electronic commerce. IEEE Transactions on Engineering Management. 2002. Vol. 49(3). P. 258¬268.
Brandolese A., Cartegni E., Cigolini R. Improving productivity by using strategic inventories: theoretical issues and field results. International Journal of Production Research. 2001. Vol. 39 (18). P. 4179¬4196.
Gjerdrum J., Shah N., Papageorgiou L.G. A combined optimization and agent-based approach to supply chain modelling and performance assessment. Production Planning & Control. 2001. Vol. 12(1). P. 81¬88.
Ng C.T., Li L.Y.O., Chakhlevitch K. Coordinated replenishments with alternative supply sources in two-level supply chains. International Journal of Production Economics. 2001. Vol. 73(3). P. 227¬240.
Jansen D.R. Simulation model of multi-compartment distribution in the catering supply chain. European Journal of Operational Research. 2001. Vol. 133 (1). P. 210¬224.
Sirias D., Mehra S. (2005). Quantity discount versus lead time-dependent discount in an inter-organizational supply chain. International Journal of Production Research, vol. 43(16), рр. 3481¬3496.
Klastorin T.D., Moinzadeh K., Son J. (2002). Coordinating orders in supply chains through price discounts. IIE Transactions, vol. 34(8), рр. 679¬689.
Mishra A.K. (2004). Selective discount for supplier–buyer coordination using common replenishment epochs. European Journal of Operational Research, vol. 153(3), рр. 751¬756.
Weng Z.K. (1999). The power of coordinated decisions for short-life-cycle products in a manufacturing and distribution supply chain. IIE Transactions, vol. 31(11), рр. 1037¬1049.
Cachon G.P. (1999). Managing supply chain demand variability with scheduled ordering policies. Management Science, vol. 45 (6), рр. 843-856.
Das T.K., Teng B.S. (2000). A resource based theory of strategic alliance. Journal of Management, vol. 26 (1), рр. 31¬61.
Bahinipati B.K., Kanda A., Deshmukh S.G. (2009). Coordinated supply management: review, insights, and limitations. International Journal of Logistics Research and Applications: A Leading Journal of Supply Chain Management, vol. 12:6, рр. 407¬422.
Tsay A. (1999). The quantity flexibility contract and supplier-customer incentives. Management Science, vol. 45(10), рр. 1339¬1358.
Giannoccaro I., Pontrandolfo P. (2004). Supply chain coordination by revenue sharing contracts. International Journal of Production Economics, vol. 89(2), рр. 131¬139.
Wang Q., Tsao D. (2006). Supply contract with bidirectional options: the buyer’s perspective. International Journal of Production Economics, vol. 101(1), рр. 30-52.
Tibben-Lembke R.S. (2004). N-period contracts with ordering constraints and total minimum commitments: optimal and heuristic solutions. European Journal of Operational Research, vol. 156(2), рр. 353¬374.
Spinler S., Huchzermeier A. (2006). The valuation of options on capacity with cost and demand uncertainty. European Journal of Operational Research, vol. 171(1), рр. 915¬934.
Corbett C.J., DeCroix G.A. (2001). Shared-savings contracts for indirect materials in supply chains: channel profits and environmental impacts. Management Science, vol. 47 (7), рр. 881¬893.
Chen J., Xu L. (2001). Coordinated ordering decisions for short life cycle products with uncertainty in delivery time and demand. IEEE Transactions on Systems, Man, and Cybernetics, vol. 31 (6), рр. 524¬532.
Sterman J. (1989). Modelling managerial behaviour: misperceptions of feedback in a dynamic decision making experiment. Management Science, vol. 35(3), рр. 321¬339.
Lee H.L, Padmanahan V., Whang S. (1997). Information distortion in a supply chain: the bullwhip effect. Management Science, vol. 43(4), рр. 546¬559.
Owens S.F., Levary R.R. (2002). Evaluating the impact of electronic data interchange on the ingredient supply chain of a food processing company. Supply Chain Management. An International Journal, vol. 7(4), рр. 200¬211.
Hieber R., Hartel I. (2003). Impacts of SCM order strategies evaluated by simulation-based ‘beer game’ approach: the model, concept, and initial experiences. Production Planning & Control, vol. 14 (2), рр. 122¬134.
Jansen D.R. (2001). Simulation model of multi-compartment distribution in the catering supply chain. European Journal of Operational Research, vol. 133 (1), рр. 210¬224.
Manzini R. (2005). Simulation performance in the optimisation of the supply chain. Journal of Manufacturing Technology Management, vol. 16(2), рр. 127¬144.
Lin F.-R., Huang S.-H., Lin S.-C. (2002). Effects of information sharing on supply chain performance in electronic commerce. IEEE Transactions on Engineering Management, vol. 49(3), рр. 258¬268.
Brandolese A., Cartegni E., Cigolini R. (2001). Improving productivity by using strategic inventories: theoretical issues and field results. International Journal of Production Research, vol. 39 (18), рр. 4179¬4196.
Gjerdrum J., Shah N., Papageorgiou L.G. (2001). A combined optimization and agent-based approach to supply chain modelling and performance assessment. Production Planning & Control, vol. 12(1), рр. 81¬88.
Ng C.T., Li L.Y.O., Chakhlevitch K. (2001). Coordinated replenishments with alternative supply sources in two-level supply chains. International Journal of Production Economics, vol. 73(3), рр. 227¬240.
Jansen D.R. (2001). Simulation model of multi-compartment distribution in the catering supply chain. European Journal of Operational Research, vol. 133 (1), рр. 210¬224.
