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1

Drezner, Zvi, and George O. Wesolowsky. "Allocation of demand when cost is demand-dependent." Computers & Operations Research 26, no. 1 (1999): 1–15. http://dx.doi.org/10.1016/s0305-0548(98)00052-5.

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2

Zhao, Yingxue, Tsan-Ming Choi, T. C. E. Cheng, Suresh P. Sethi, and Shouyang Wang. "Buyback contracts with price-dependent demands: Effects of demand uncertainty." European Journal of Operational Research 239, no. 3 (2014): 663–73. http://dx.doi.org/10.1016/j.ejor.2014.06.008.

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3

Walski, Tom, Devin Blakley, Matthew Evans, and Brian Whitman. "Verifying Pressure Dependent Demand Modeling." Procedia Engineering 186 (2017): 364–71. http://dx.doi.org/10.1016/j.proeng.2017.03.230.

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4

T., Nitha, and Sivashankari C.K. "Inventory Models for Deteriorative items with Price Dependent Demand Integrated with Stock Dependent Demand." International Journal of Procurement Management 1, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijpm.2023.10055742.

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5

Sivashankari, C. K., and T. Nithya. "Inventory models for deteriorative items with price dependent demand integrated with stock dependent demand." International Journal of Procurement Management 19, no. 4 (2024): 558–81. http://dx.doi.org/10.1504/ijpm.2024.137327.

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6

Janda, K., J. Mikolášek, and M. Netuka. "Complete almost ideal demand system approach to the Czech alcohol demand." Agricultural Economics (Zemědělská ekonomika) 56, No. 9 (2010): 421–34. http://dx.doi.org/10.17221/117/2009-agricecon.

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Tax interventions into alcohol beverages market are an important and recently discussed tool of the Czech fiscal policy. The impact of any such measure would be strongly dependent on the microeconomic behavior of the consumers. The aim of this paper is to provide a reliable set of income, own-price, and cross-price elasticities of demand for the key alcohol beverages based on the Almost Ideal Demand System model applied on the most relevant Czech data set of the Household Budget Statistics.
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7

Verbas, I. Ömer, Hani S. Mahmassani, and Kuilin Zhang. "Time-Dependent Origin–Destination Demand Estimation." Transportation Research Record: Journal of the Transportation Research Board 2263, no. 1 (2011): 45–56. http://dx.doi.org/10.3141/2263-06.

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8

Gershwin, Stanley B., Bariş Tan, and Michael H. Veatch. "Production control with backlog-dependent demand." IIE Transactions 41, no. 6 (2009): 511–23. http://dx.doi.org/10.1080/07408170801975040.

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9

Breitmoser, Yves, and Jonathan H. W. Tan. "Reference dependent altruism in demand bargaining." Journal of Economic Behavior & Organization 92 (August 2013): 127–40. http://dx.doi.org/10.1016/j.jebo.2013.06.001.

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10

Baker, RC, and Timothy L. Urban. "Single-period inventory dependent demand models." Omega 16, no. 6 (1988): 605–7. http://dx.doi.org/10.1016/0305-0483(88)90034-5.

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11

Mishra, N., SP Mishra, Srichandan Mishra, J. Panda, and UK Misra. "INVENTORY MODEL OF DETERIORATING ITEMS FOR LINEAR HOLDING COST WITH TIME DEPENDENT DEMAND." Mathematical Journal of Interdisciplinary Sciences 4, no. 1 (2015): 29–36. http://dx.doi.org/10.15415/mjis.2015.41004.

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12

Pratama, Y. N. A., M. Darmawan, R. D. Astanti, T. J. Ai, and D. C. Gong. "Inventory Policy for Dependent Demand Where Parent Demand Has Decreasing Pattern." International Journal of Industrial Engineering and Engineering Management 1, no. 1 (2019): 17. http://dx.doi.org/10.24002/ijieem.v1i1.2293.

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When a product reaches its maturity in its life cycle, some innovations have to be put in that product in order to lengthen its life cycle. Otherwise, that product will be perceived as obsolete. It might affect the demand of that product i.e. the demand become decreasing. Based on the observation that we conducted over two smart phone brands, the phenomena that the demand has declining pattern really happened in the real situation. In addition, the observation shows that the product life cycle is getting shorter. This implies that the manufacturer has to deal with decreasing demand more often.
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13

Datta, T. K., K. Paul, and A. K. Pal. "Demand promotion by upgradation under stock-dependent demand situation – a model." International Journal of Production Economics 55, no. 1 (1998): 31–38. http://dx.doi.org/10.1016/s0925-5273(98)00033-4.

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14

Sharma, Sanjay, Anand Tyagi, B. B. Verma, and Sachin Kumar. "An Inventory Control Model for Deteriorating Items Under Demand Dependent Production with Time and Stock Dependent Demand." International Journal of Operations and Quantitative Management 27, no. 4 (2022): 321. http://dx.doi.org/10.46970/2021.27.4.2.

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15

Dr., Preetha F. James. "THE EFFECT OF EMOTIONAL DEMAND AND JOB DEMAND ON EMOTIONAL EXHAUSTION IN SALES EXECUTIVES FROM AUTOMOBILE INDUSTRY." International Journal of Interdisciplinary Research in Arts and Humanities 4, no. 1 (2019): 2019. https://doi.org/10.5281/zenodo.2561282.

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The service employees frequently engage in emotionally demanding interactions with customers. They are likely to have high levels of emotional exhaustion. The present study explores the effect of emotional demand and job demand the independent variables on the dependent variable emotional exhaustion. Data for this were collected from 70 automobile show room executives.  The result of this study indicates that emotional demand and job demand are positively related to emotional exhaustion. Three validated instruments were employed in the study to measure the relevant variables. Pearson corr
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16

x, Shelly, and Rajender Kumar. "Inventory Model with Demand as a Polynomial Function of Time and Time Dependent Deterioration." International Journal of Science and Research (IJSR) 10, no. 9 (2021): 871–74. https://doi.org/10.21275/sr21913192013.

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17

Jahan, Nargis. "A Partially Backlogged Inventory Model with Ramp Type Demand and Time Dependent Holding Cost." International Journal of Science and Research (IJSR) 14, no. 3 (2025): 1382–88. https://doi.org/10.21275/sr25322225353.

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18

Suvetha, R., K. Rangarajan, P. Rajadurai, M. Kaviyarasu, and Mohammad Alqahtani. "Optimized Three-Stage EPQ Model Incorporating Time-Dependent Deterioration and Trapezoidal Demand Dynamics." International Journal of Analysis and Applications 23 (February 14, 2025): 39. https://doi.org/10.28924/2291-8639-23-2025-39.

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In the world of economic evolution, world economics depends on the manufacturing industries for their source of income. Besides this, all manufacturing industries aim to achieve maximum profit with minimum cost. An optimal three-stage economic production quantity model with time-dependent deterioration and trapezoidal and triangular demands is described in this paper. Shortages are not allowed; all cost values depend on time, and demand depends on trapezoidal and triangular demand. However, trapezoidal demand is described mainly in this paper. Practically, many products like automobiles, elect
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19

Polatoglu, Hakan, and Izzet Sahin. "Optimal procurement policies under price-dependent demand." International Journal of Production Economics 65, no. 2 (2000): 141–71. http://dx.doi.org/10.1016/s0925-5273(98)00240-0.

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20

Dang, Quang-Vinh, Won-Young Yun, and Herbert Kopfer. "Positioning empty containers under dependent demand process." Computers & Industrial Engineering 62, no. 3 (2012): 708–15. http://dx.doi.org/10.1016/j.cie.2011.11.021.

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21

Aloqeili, Marwan. "Characterizing demand functions with price dependent income." Mathematics and Financial Economics 8, no. 2 (2013): 135–51. http://dx.doi.org/10.1007/s11579-013-0098-5.

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22

Skouri, K. "An EOQ model with backlog-dependent demand." Operational Research 18, no. 2 (2016): 561–74. http://dx.doi.org/10.1007/s12351-016-0279-0.

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23

Gu, Yiquan, and Tobias Wenzel. "Transparency, price-dependent demand and product variety." Economics Letters 110, no. 3 (2011): 216–19. http://dx.doi.org/10.1016/j.econlet.2010.11.041.

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24

Walski, Thomas, Michael Havard, Bruce Yankelitis, Jon Youells, and Brian Whitman. "Pressure‐dependent demand under pressure‐deficient conditions." AWWA Water Science 1, no. 2 (2019): e1135. http://dx.doi.org/10.1002/aws2.1135.

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25

Drezner, Zvi, and G. O. Wesolowsky. "Facility location when demand is time dependent." Naval Research Logistics 38, no. 5 (1991): 763–77. http://dx.doi.org/10.1002/1520-6750(199110)38:5<763::aid-nav3220380510>3.0.co;2-a.

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26

C.K., Sivashankari, and Selvaraju P. "Effect of Quadratic Price-Dependent demand with Quadratic Time-Dependent Demand in EOQ Inventory Models for Deteriorative items." International Journal of Operational Research 1, no. 1 (2022): 1. http://dx.doi.org/10.1504/ijor.2022.10053350.

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27

Li, Hui-Chieh. "Optimal delivery strategies considering carbon emissions, time-dependent demands and demand–supply interactions." European Journal of Operational Research 241, no. 3 (2015): 739–48. http://dx.doi.org/10.1016/j.ejor.2014.09.022.

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28

Nockowska-Rosiak, Magdalena, Piotr Hachuła, and Ewa Schmeidel. "Stability of equilibrium points of demand-inventory model with stock-dependent demand." Journal of Difference Equations and Applications 22, no. 10 (2016): 1490–500. http://dx.doi.org/10.1080/10236198.2016.1208188.

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29

Hachuła, Piotr, Magdalena Nockowska-Rosiak, and Ewa Schmeidel. "Neimark-Sacker Bifurcation in Demand-Inventory Model with Stock-Level-Dependent Demand." Discrete Dynamics in Nature and Society 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/8162865.

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An analysis of dynamics of demand-inventory model with stock-level-dependent demand formulated as a three-dimensional system of difference equations with four parameters is considered. By reducing the model to the planar system with five parameters, an analysis of one-parameter bifurcation of equilibrium points is presented. By the analytical method, we prove that nondegeneracy conditions for the existence of Neimark-Sacker bifurcation for the planar system are fulfilled. To check the sign of the first Lyapunov coefficient of Neimark-Sacker bifurcation, we use numerical simulations. We give ph
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30

Kumar, Sanjeev, and Jaivindra Tomar. "An Inventory Model with Price Dependent demand with Partial Backlogging and Preservation Technology." International Journal of Science and Social Science Research 1, no. 4 (2024): 113–23. https://doi.org/10.5281/zenodo.13367085.

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This paper investigates an inventory model that includes partial backlogging, price dependent demand and preservation technology integration. This paper integrates EOQ model for deteriorating items in which demand is determined by selling price, stock, and investment in green technology (or carbon reduction investment), and the rate of deterioration is controlled by investment in preservation technology.&nbsp;
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31

Chand Meena Anil, Teekam. "An Inventory Model under Influence of Money Inflation, Time Dependent Holding Cost and Multivariate Demand." International Journal of Science and Research (IJSR) 12, no. 2 (2023): 984–89. http://dx.doi.org/10.21275/mr23214183600.

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32

Rojas, Fernando, and Victor Leiva. "Inventory management in food companies with statistically dependent demand." Academia Revista Latinoamericana de Administración 29, no. 4 (2016): 450–85. http://dx.doi.org/10.1108/arla-12-2015-0336.

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Purpose The objective of this paper is to propose a methodology based on random demand inventory models and dependence structures for a set of raw materials, referred to as “components”, used by food services that produce food rations referred to as “menus”. Design/methodology/approach The contribution margins of food services that produce menus are optimised using random dependent demand inventory models. The statistical dependence between the demand for components and/or menus is incorporated into the model through the multivariate Gaussian (or normal) distribution. The contribution margins
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33

Huerta, Mauricio, Víctor Leiva, Fernando Rojas, Peter Wanke, and Xavier Cabezas. "A Methodology for Consolidation Effects of Inventory Management with Serially Dependent Random Demand." Processes 11, no. 7 (2023): 2008. http://dx.doi.org/10.3390/pr11072008.

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Most studies of inventory consolidation effects assume time-independent random demand. In this article, we consider time-dependence by incorporating an autoregressive moving average structure to model the demand for products. With this modeling approach, we analyze the effect of consolidation on inventory costs compared to a system without consolidation. We formulate an inventory setting based on continuous-review using allocation rules for regular transshipment and centralization, which establishes temporal structures of demand. Numerical simulations demonstrate that, under time-dependence, t
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34

ZHANG, ALEX X. "DEMAND FULFILLMENT RATES IN AN ASSEMBLETO- ORDER SYSTEM WITH MULTIPLE PRODUCTS AND DEPENDENT DEMANDS." Production and Operations Management 6, no. 3 (2009): 309–24. http://dx.doi.org/10.1111/j.1937-5956.1997.tb00433.x.

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35

Zhang, Z., S. Li, and J. Zhou. "Estimate Load-dependent Service Demand for Modern CPU." Information Technology Journal 12, no. 4 (2013): 632–39. http://dx.doi.org/10.3923/itj.2013.632.639.

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36

Naidu, G. Mohan, and K. V. S. Sarma. "A Stochastic Inventory Model with Quality-Dependent Demand." Calcutta Statistical Association Bulletin 47, no. 3-4 (1997): 215–22. http://dx.doi.org/10.1177/0008068319970307.

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This paper deals with an inventory model in which the demand rate is influenced by the quality of the material received . The case considered is a situation in which the consumption rate is adjusted whenever the incoming material does not have the desired quality but still usable. This leads to uncertainity in the inventory cycle and may create unplanned shortages. The model takes into account differential prices of the material based on quality. The behaviour of the optimal order level and the optimum cost has been studied as a function of the probability with which good quality material can
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37

Simonov, Andrey, Jean-Pierre Dubé, Günter Hitsch, and Peter Rossi. "State-Dependent Demand Estimation with Initial Conditions Correction." Journal of Marketing Research 57, no. 5 (2020): 789–809. http://dx.doi.org/10.1177/0022243720941529.

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The authors analyze the initial conditions bias in the estimation of brand choice models with structural state dependence. Using a combination of Monte Carlo simulations and empirical case studies of shopping panels, they show that popular, simple solutions that misspecify the initial conditions are likely to lead to bias even in relatively long panel data sets. The magnitude of the bias in the state dependence parameter can be as large as a factor of 2–2.5. The authors propose a solution to the initial conditions problem that samples the initial states as auxiliary variables in a Markov chain
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38

LAU, AMY HING-LING, and HON-SHIANG LAU. "The Newsboy Problem With Price-Dependent Demand Distribution." IIE Transactions 20, no. 2 (1988): 168–75. http://dx.doi.org/10.1080/07408178808966166.

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39

Buetefisch, Cathrin M., Kate Pirog Revill, Linda Shuster, Benjamin Hines, and Michael Parsons. "Motor demand-dependent activation of ipsilateral motor cortex." Journal of Neurophysiology 112, no. 4 (2014): 999–1009. http://dx.doi.org/10.1152/jn.00110.2014.

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The role of ipsilateral primary motor cortex (M1) in hand motor control during complex task performance remains controversial. Bilateral M1 activation is inconsistently observed in functional (f)MRI studies of unilateral hand performance. Two factors limit the interpretation of these data. As the motor tasks differ qualitatively in these studies, it is conceivable that M1 contributions differ with the demand on skillfulness. Second, most studies lack the verification of a strictly unilateral execution of the motor task during the acquisition of imaging data. Here, we use fMRI to determine whet
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40

Kim, Eungab. "Stochastic vendor managed replenishment with demand dependent shipment." European Journal of Operational Research 152, no. 3 (2004): 723–44. http://dx.doi.org/10.1016/s0377-2217(02)00698-7.

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41

Sun, Zhengwei, Andrea C. Hupman, and Ali E. Abbas. "The value of information for price dependent demand." European Journal of Operational Research 288, no. 2 (2021): 511–22. http://dx.doi.org/10.1016/j.ejor.2020.05.057.

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42

Berman, Oded, and David Perry. "An EOQ model with state-dependent demand rate." European Journal of Operational Research 171, no. 1 (2006): 255–72. http://dx.doi.org/10.1016/j.ejor.2004.08.035.

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43

Önal, Mehmet, and Erinç Albey. "Economic lot sizing problem with inventory dependent demand." Optimization Letters 14, no. 8 (2020): 2087–106. http://dx.doi.org/10.1007/s11590-020-01532-z.

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44

Fei, Wenan, and Harris Schlesinger. "Precautionary Insurance Demand With State-Dependent Background Risk." Journal of Risk & Insurance 75, no. 1 (2008): 1–16. http://dx.doi.org/10.1111/j.1539-6975.2007.00245.x.

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45

Arcelus, F. J., T. P. M. Pakkala, and G. Srinivasan. "The Instant Obsolescence Problem With Price-Dependent Demand." INFOR: Information Systems and Operational Research 44, no. 4 (2006): 248–66. http://dx.doi.org/10.1080/03155986.2006.11732751.

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46

Zhang, Jing Jiang, Teng Fei Nie, and Shao Fu Du. "Optimal emission-dependent production policy with stochastic demand." International Journal of Society Systems Science 3, no. 1/2 (2011): 21. http://dx.doi.org/10.1504/ijsss.2011.038931.

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47

Yu, Ying, Ji Zhu, and Chenwei Wang. "A newsvendor model with fuzzy price-dependent demand." Applied Mathematical Modelling 37, no. 5 (2013): 2644–61. http://dx.doi.org/10.1016/j.apm.2012.06.008.

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48

Chierici, Alessandro, Roberto Cordone, and Roberto Maja. "The demand-dependent optimization of regular train timetables." Electronic Notes in Discrete Mathematics 17 (October 2004): 99–104. http://dx.doi.org/10.1016/j.endm.2004.03.017.

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49

Okyay, H. K., F. Karaesmen, and S. Özekici. "Newsvendor models with dependent random supply and demand." Optimization Letters 8, no. 3 (2013): 983–99. http://dx.doi.org/10.1007/s11590-013-0616-7.

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50

A. M., Atama, and Sani B. "A Production Inventory Model with Linear Time Dependent Production Rate, Linear Level Dependent Demand and Demand and Constant Holding Cost." African Journal of Mathematics and Statistics Studies 7, no. 1 (2024): 64–79. http://dx.doi.org/10.52589/ajmss-8iydeqeu.

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In this paper, a production inventory model with linear time dependent production rate is considered. The market demand is assumed to be linear level dependent while the holding cost is a constant. The model considered a small amount of decay without having any shortage. Production starts with a buffer stock reaching its maximum desired level and then the inventory begins to deplete due to demand and deterioration. The model is formulated using a system of differential equations and typical integral calculus was used to analyze the inventory problems. These differential equations were solved t
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