On the newsboy model with a cutoff transaction size

References

• Silver , E.A. ( 1970 ) Some ideas related to the inventory control of items having erratic demand patterns . Journal of the Canadian Operations Research Society , 8 , 87– 100 .
   Google Scholar
• Hollier , R.H. , Mak , K.L. and Lam , C.L. ( 1995 ) Continuous review (s, S) policies for inventory systems incorporating a cutoff transaction size . International Journal of Production Research , 33 , 2855– 2865 .
   Web of Science ®Google Scholar
• Krever , M. ( 1996 ) L.I.M.S. logistics inventory management system . Technical Report v96.1 , CERN Laboratory , Geneva , Switzerland .
   Google Scholar
• Nass , R. , Dekker , R. and van Sonderen-Huisman , W. ( 1997 ) Distribution management by means of cutoff order size a case study . Journal of the Operational Research Society , 48 , 1057– 1064 .
   Web of Science ®Google Scholar
• Lee , H.L. and Nahmias , S. ( 1993 ) Single— product, single— location models , in Handbooks in OR & MS , vol. 4 , Logistics of production and inventory, Graves, S.C., Rinnooy Kan, A.H.G. and Zipkin, P. (eds) , Elsevier Science Publishers , Amsterdam , pp 3– 55 .
   Google Scholar
• Porteus , E.L. ( 1990 ) Stochastic inventory theory , in Handbooks in OR & MS , Vol. 2 , Stochastic models, Heyman, DP. and Sobel, M.J. (eds) , Elsevier Science Publishers , Amsterdam , pp 605 – 652 .
   Google Scholar
• Ballou , R.H. ( 1992 ) Business Logistics Management , 3rd ed , Prentice Hall , Englewood Cliffs , NJ . p. 43 .
   Google Scholar
• Popp , W. ( 1965 ) Simple and combined inventory policies, production to stock or to order? Management Science , 11 , 868– 873 .
   Web of Science ®Google Scholar
• Magee , J.F. and Boodman , D.M. ( 1967 ) Production Planning and Inventory Control , 2nd ed , McGraw— Hill , New York .
   Google Scholar
• Hollier , R.H. , Mak , K.L. and Lam , C.L. ( 1995 ) An inventory model for items with demands satisfied from stock or by special deliveries . International Journal of Production Economics , 42 , 229– 236 .
   Web of Science ®Google Scholar
• Mak , K.L. and Lai , K.K. ( 1995 ) The determination of optimal partial fill policy for an inventory system with lumpy demand items . Applied Mathematical Modelling , 19 , 724– 737 .
   Web of Science ®Google Scholar
• Mak , K.L. and Lai , K.K. ( 1995 ) Optimal (s,S) policy for an inventory system when the demand can be partially satisfied . International Journal of Systems Science , 26 , 213– 231 .
   Web of Science ®Google Scholar
• Adelson , R.M. ( 1966 ) Compound Poisson distributions . Operations Research Quarterly , 17 , 73– 75 .
   Google Scholar
• Zheng , Y.-S. and Federgruen , A. ( 1991 ) Finding optimal (s,S) policies is about as simple as evaluating a single policy . Operations Research , 39 , 654– 665 .
   Web of Science ®Google Scholar
• Kleijn , M.J. and Dekker , R. ( 1998 ) Using break quantities for tactical optimisation in multi— stage distribution systems , in Advances in Distribution Logistics , Fleischmann, B., van Nunen, J.A.E.E., Grazia Speranza, M. and Stanly, P. (eds) , Springer— Verlag , Berlin — Heidelberg , pp 305– 318 .
   Google Scholar
• Tijms , H.C. ( 1994 ) Stochastic Models An Algorithmic Approach . Wiley , New York .
   Google Scholar
• Tyworth , J.E. and O'Neill , L. ( 1997 ) Robustness of the normal approximation of lead— time demand in a distribution setting . Naval Research Logistics , 44 , 165– 186 .
   Web of Science ®Google Scholar
• Silver , E.A. and Peterson , R. ( 1985 ) Decision Systems for Inventory Management and Production Planning , John Wiley & Sons , New York .
   Google Scholar
• Dekker , R. , Kleijn , M.J. and de Kok , A.G. ( 1998 ) The break quantity rule' s effect on inventory costs in a 1– warehouse, N— re— tailers distribution system . International Journal of Production Economics , 56– 57 , 61– 68 .
   Web of Science ®Google Scholar
• Topkis , D.M. ( 1968 ) Optimal ordering and rationing policies in a nonstationary dynamic inventory model with n demand classes . Management Science , 15 , 160 – 176 .
   Web of Science ®Google Scholar