Academic literature on the topic 'Fulfillment Decision'
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Journal articles on the topic "Fulfillment Decision"
Shuanjun, Song, Peng Longguang, Meng Yuanyi, and Hu Sheng. "Order Fulfillment Decision under Multiwarehouse Collaborative Delivery." Mathematical Problems in Engineering 2021 (March 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/6663416.
Full textMerschformann, M., T. Lamballais, M. B. M. de Koster, and L. Suhl. "Decision rules for robotic mobile fulfillment systems." Operations Research Perspectives 6 (2019): 100128. http://dx.doi.org/10.1016/j.orp.2019.100128.
Full textOnal, Sevilay, Jingran Zhang, and Sanchoy Das. "Product flows and decision models in Internet fulfillment warehouses." Production Planning & Control 29, no. 10 (May 7, 2018): 791–801. http://dx.doi.org/10.1080/09537287.2018.1469800.
Full textSuadi, Amran. "PROTECTION OF WOMEN'S AND CHILDREN'S RIGHTS BASED ON SYSTEM INTERCONNECTION: A New Paradigm of Execution of Women and Children's Rights after Divorce." Jurnal Hukum dan Peradilan 11, no. 3 (December 1, 2022): 499. http://dx.doi.org/10.25216/jhp.11.3.2022.499-522.
Full textSitompul, Rina Melati, and Andi Maysarah. "Initiating Payment of Trafficking Restitution from a Victims Perspective." Kanun Jurnal Ilmu Hukum 23, no. 1 (April 30, 2021): 101–15. http://dx.doi.org/10.24815/kanun.v23i1.18276.
Full textTitiyal, Rohit, Sujoy Bhattacharya, and Jitesh J. Thakkar. "E-fulfillment performance evaluation for an e-tailer: a DANP approach." International Journal of Productivity and Performance Management 69, no. 4 (August 27, 2019): 741–73. http://dx.doi.org/10.1108/ijppm-12-2018-0459.
Full textRizqy, Mochammad Fahruz. "IMPLIKASI YURIDIS PUTUSAN MK NOMOR 46/PUU-VIII/2010 TERKAIT PERLINDUNGAN HAK ANAK." Yuridika 30, no. 2 (August 23, 2017): 278. http://dx.doi.org/10.20473/ydk.v30i2.4652.
Full textOrlov, I. V., and S. A. Pryadko. "THE MODEL OF ADAPTIVE PLANNING OF DESIGN WORKS." Issues of radio electronics, no. 5 (May 20, 2018): 70–73. http://dx.doi.org/10.21778/2218-5453-2018-5-70-73.
Full textLe, Hien Thi Kim, Lien Bich Nguyen, and Phuc Do. "Applying OLAP technology to support decision making in sales process." Science and Technology Development Journal 19, no. 2 (June 30, 2016): 41–57. http://dx.doi.org/10.32508/stdj.v19i2.727.
Full textBalter‐Reitz, Susan, Steven E. Meredith, Mac Powell, and Melinda Arnold. "Assessing Mission Fulfillment: Utilizing Collaboration to Support Strategic Planning and Decision‐Making." Assessment Update 34, no. 5 (September 2022): 1–16. http://dx.doi.org/10.1002/au.30312.
Full textDissertations / Theses on the topic "Fulfillment Decision"
Drake, Bryan (Bryan G. ). "Enabling strategic fulfillment : a decision support tool for fulfillment network optimization." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/73440.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 48).
Dell's Third-Party (3P) Product network uses several different order fulfillment methods, though the determination of which products are fulfilled under which method is not clearly delineated. We have developed a tool to assist in the decision making process for Dell's 3P distribution network. This tool transparently presents the results of cost modeling and forecast variance simulation while maintaining usability to achieve broad adoption and exert influence on product fulfillment method decisions. The cost model created takes into account product, overhead, logistics, and capital costs and has the capability to deal with volume uncertainties through simulation. This tool solidifies the discussion around choosing the correct fulfillment method decision process and is the first step towards quantifying the fulfillment method decision.
by Bryan Drake.
S.M.
M.B.A.
Väyrynen, T. (Tuure). "Faith in career fulfillment and the decision to leave company." Master's thesis, University of Oulu, 2014. http://urn.fi/URN:NBN:fi:oulu-201402131104.
Full textNolan, Kevin Patrick. "Basic Psychological Need Fulfillment and User Resistance to Objective and Analytical Decision-Making Practices in Employee Selection." Bowling Green State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1343479006.
Full textMerschformann, Marius [Verfasser]. "Controlling robotic mobile fulfillment systems and further topics in decision support / Marius Merschformann." Paderborn : Universitätsbibliothek, 2019. http://d-nb.info/1187332682/34.
Full textPaul, Somak. "Effect of Supply Chain Uncertainties on Inventory and Fulfillment Decision Making: An Empirical Investigation." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563510590703363.
Full textMarkowicz, Federico. "Optimizing order-routing decisions : leveraging omni-channel supply chain fulfillment." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111492.
Full textThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, in conjunction with the Leaders for Global Operations Program at MIT, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (page 73).
This thesis provides a deep mathematical analysis of the diverse alternatives for routing models considering an Omni-channel supply chain. The natural evolution of supply chains from traditional brick-and-mortar stores to an omni-channel supply chain, encompassing and merging e-commerce together with a multi-channel concept, allows businesses to reach new levels of operational efficiency by leveraging inventory closer to the customer and making decisions on the fly on how to better and more cheaply provide a service/product to the final consumer. The flexibility and benefits, unfortunately, do not come without a certain dose of complexity and further development of the supply chain tactical implementation and systems. New alternatives to fulfill customer orders are available, which require greater screening among the different alternatives. An effective routing model becomes essential to make sure these alternatives are properly considered in order to satisfy both the consumer and retailer objectives, such as on-time delivery of orders, retail stores' service levels, and fulfillment costs.
by Federico Markowicz.
M.B.A.
S.M.
Than, Tut. "The Court of Appeal decision in Accent Management Ltd v CIR [2007] NZCA 230 Statutory interpretation in New Zealand tax avoidance law : a thesis submitted to Auckland University of Technology in partial fulfillment of the requirements for the degree of Master of Business, 2007." Click here to access this resource online, 2007. http://hdl.handle.net/10292/416.
Full textYuan, Rong Ph D. Massachusetts Institute of Technology. "Velocity-based storage and stowage decisions in a semi-automated fulfillment system." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/106682.
Full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 153-156).
The supply chain management for an online retailing business is centered around the operations of its fulfillment centers. A fulfillment center receives and holds inventory from vendors, and then uses this inventory to fill customer orders. Our research focuses on a new operating architecture of an order fulfillment system, enabled by new technology. We refer to it as the Semi-automated Fulfillment System. Different from the person-to-goods model in traditional warehouses, the semi-automated fulfillment system adopts a goods-to-person model for stowing and picking items from a storage field. In a semi-automated fulfillment system the inventory is stored on mobile storage pods; those mobile pods are then carried by robotic drives to static stations at which the operators conduct pick or stow operations. In the first chapter, we describe and identify three key operational decisions in the semiautomated fulfillment system, namely from which pods to pick the inventory needed (picking decision), where to return the pod to the storage field upon the completion of a pick or stow operation (storage decision), and to which pods to replenish the received inventory (stowage decision). We present a high-level capacity planning model for determining the number of robotic drives needed to achieve a given throughput level. This model highlights how the operational efficiency in this system depends on two key parameters, namely the travel time for an entire drive trip and the number of unit picks or stows per pod trip. In the second chapter, we focus on the storage decisions. The storage decision is to decide to which storage location to return a pod upon the completion of a pick or stow operation. We extend the academic results on the benefits of adopting velocity-based and class-based storage policies to the context of the semi-automated fulfillment system. We associate with each storage pod a velocity measure that represents an expectation of the number of picks from that pod in the near future. We then show that by assigning the high velocity pods to the most desirable storage locations, we can significantly reduce the drive travel time, compared to the random storage policy that returns the pod to a randomly-chosen storage location. We show that class-based storage policies with two or three classes, can achieve most of the benefits from the idealized velocity-based policy. Furthermore, we characterize how the performance of the velocity-based and class-based storage policies depend on the velocity variability across the storage pods; in particular we model how the benefits from velocity-based storage policies increase with increased variation in the pod velocities. In the third chapter, we build a discrete-time simulator to validate the theoretical models in the second chapter with real industry data. We observe a 6% to 11% reduction in the travel distance with 2-class or 3-class system, depending on the parameter settings. From a sensitivity analysis we establish the robustness of the class-based storage policies as they continue to perform well under a broad range of warehouse settings including different zoning strategies, resource utilization levels and space utilization levels. In the fourth chapter, we examine two stowage decisions, one at the zone level and the other at the pod level. The zone-level decision is to decide how to allocate the received inventory to multiple storage zones. The objective is to assure that the resulting picking workload for each zone is within its capacity. We show by simulation that a chaining-based allocation can be effective to balance the picking workload across different storage zones. The pod-level stowage decision is to decide on which pods to stow the inventory. We formulate a mixedinteger program (MIP) to find the optimal stowage profile that maximizes the number of unit picks per pod trip. We solve the MIP for a set of test cases to gain insight into the structure of optimal stowage policy. Motivated by these insights, we further propose a class-based stowage process that induces variability across the pod velocities.
by Rong Yuan.
Ph. D.
Acimovic, Jason Andrew. "Lowering outbound shipping costs in an online retail environment by making better fulfillment and replenishment decisions." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/77825.
Full textCataloged from PDF version of thesis.
Includes bibliographical references (p. 181-185).
As online retailing - or e-tailing - continues to grow as more and more customers buy physical goods on the internet, finding ways to reduce the cost and environmental impact of outbound shipping in this sector will become increasingly important. We investigate the impact of making poor fulfillment and replenishment decisions using data obtained from a large American online retailer. Then, we propose implementable - i.e., computationally tractable and relatively intuitive - solutions for both the fulfillment and replenishment problems, both tested either on actual data from our industrial partner or on small but realistic models. We first focus on the fulfillment problem, namely, deciding from which warehouse(s) to fulfill a customer's order when several options exist. We propose a heuristic that utilizes the dual values of a transportation linear program to estimate the opportunity cost of depleting inventory from a warehouse. This linear program values inventory at a warehouse due to both its geography and the size of its catalogue. After showing that this linear program is asymptotically optimal - using concepts developed in airline network revenue management - we then test the heuristic on industry data, showing a 1% reduction in outbound shipping costs as compared to a myopic fulfillment policy. The last part of the thesis focuses on replenishment. Every period, for each item, the network places an order to restock all the warehouses. Complicating this decision are two factors. First, the orders will not arrive immediately, but rather require a lead time to be delivered. During this time a random number of customers will place orders with the network. Second, any customer's order may be filled from any warehouse, which becomes important when warehouses stock out of an item. Therefore, it is not trivial to calculate the optimal inventory to order to each warehouse. We show that using a standard replenishment policy - popular in practice - can lead to dynamics that result in increased outbound shipping costs. We propose a replenishment policy heuristic that is intuitive and performs well on examples. This heuristic has two variants: a simpler one that assumes deterministic demand, and a more complicated one that accounts for stochasticity.
by Jason Andrew Acimovic.
Ph.D.
Xiong, M. H., Shu Beng Tor, Rohit Bhatnagar, and S. Venkataramanaiah. "Framework to Manage Customer Enquiries for SMEs." 2003. http://hdl.handle.net/1721.1/3741.
Full textSingapore-MIT Alliance (SMA)
Books on the topic "Fulfillment Decision"
Bodenhamer, Jeffery. Noah's Whore: A Woman's Decision to Willingly Step Through the Doorway to Sexual Fulfillment. Independently Published, 2017.
Find full textBrysk, Alison. Mobilization: Standing Up for Women’s Security. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190901516.003.0004.
Full textVesga R., Juan Javier, Rafael Chiuzi, Roberto O. Díaz-Juarbe, Sônia Maria Guedes Gondim, Mino Correia Rios, Mónica García-Rubiano, Carlos Forero-Aponte, et al. La vigencia del contrato psicológico: Aproximaciones teóricas y empíricas desde las Américas. Edited by Carlos-María Alcover. Editorial Universidad Católica de Colombia, 2020. http://dx.doi.org/10.14718/9789585133617.2020.
Full textBook chapters on the topic "Fulfillment Decision"
Amer, Yousef, and Lee Luong. "Order Fulfillment: A Key to Supply Chain Integration." In Decision-Making for Supply Chain Integration, 189–210. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-4033-7_10.
Full textBurton, Nicholas. "Discernment: A Forgotten Approach to Collaborative Decision-Making in Unprecedented and Turbulent Times?" In Palgrave Studies in Workplace Spirituality and Fulfillment, 89–106. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09349-4_5.
Full textLuijkx, Katrien, Meriam Janssen, Annerieke Stoop, Leonieke van Boekel, and Marjolein Verbiest. "Involve Residents to Ensure Person-Centered Nursing Home Care During Crises Like the COVID-19 Outbreak." In The New Common, 145–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65355-2_21.
Full textAlharethi, Salman, Abdullah Gani, and Mohd Khalit Othman. "Emergency Departments." In Advances in Intelligent Systems and Computing, 341–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03405-4_23.
Full textГончарова, Аліна В’ячеславівна. "Глава 8. Договори між спадкоємцями щодо розподілу спадщини." In Серія «Процесуальні науки», 321–57. Київ, Україна: Видавництво "Алерта", 2023. http://dx.doi.org/10.59835/978-617-566-765-1-3-8.
Full textJiao, Roger J., and Qianli Xu. "Affective Human Factors Design with Ambient Intelligence for Product Ecosystems." In Mass Customization for Personalized Communication Environments, 162–81. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-260-2.ch010.
Full textLiu, Bin, Pepei Ying, and Lin Peng. "Decision Models and Governance Mechanisms Considering Corporate Social Irresponsibility in Supply Chains." In Advances in Environmental Engineering and Green Technologies, 135–52. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3537-9.ch008.
Full textMyerson, Paul. "The “Make or Buy” Decision: E-Commerce Fulfillment, Transportation, Technology, Customization, and Reverse Logistics." In Omni-Channel Retail and the Supply Chain, 137–58. Productivity Press, 2020. http://dx.doi.org/10.4324/9781003123415-17.
Full textLeung, K. H., Stephen W. Y. Cheng, K. L. Choy, David W. C. Wong, H. Y. Lam, Yasmin Y. Y. Hui, Y. P. Tsang, and Valerie Tang. "A Process-Oriented Warehouse Postponement Strategy for E-Commerce Order Fulfillment in Warehouses and Distribution Centers in Asia." In Advances in Business Strategy and Competitive Advantage, 21–34. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1886-0.ch002.
Full textMargaça, Clara, José Carlos Sánchez-García, and Brizeida Hernandez Sánchez. "Entrepreneurial Intention." In Understanding the Relationship Between Religion and Entrepreneurship, 1–24. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1802-1.ch001.
Full textConference papers on the topic "Fulfillment Decision"
Li, Hanqi, Yaoxin Zhang, Zhiguo Xiao, and Dongni Li. "Order Sequencing Problem in a Robotic Mobile Fulfillment System." In 2022 34th Chinese Control and Decision Conference (CCDC). IEEE, 2022. http://dx.doi.org/10.1109/ccdc55256.2022.10033985.
Full textJi, Tongtong, Kai Zhang, and Yuhan Dong. "Model-based Optimization of Pod Point Matching Decision in Robotic Mobile Fulfillment System." In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA). IEEE, 2020. http://dx.doi.org/10.1109/iciea49774.2020.9102071.
Full textBao, Yuelong, Guoshuai Jiao, and Min Huang. "Cooperative optimization of pod repositioning and AGV task allocation in Robotic Mobile Fulfillment Systems." In 2021 33rd Chinese Control and Decision Conference (CCDC). IEEE, 2021. http://dx.doi.org/10.1109/ccdc52312.2021.9602859.
Full textSemernina, Yulia V., Alla V. Yakunina, Elena A. Ermakova, Sergey V. Yakunin, Elena V. Zhegalova, and Eugene A. Korobov. "Simulation of the Structure of Bond Issuer’s Obligations Fulfillment: A Case of Sub-Federal Bonds." In Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/ahcs.k.191206.003.
Full textDragomir, Florentina. "DECISION MANAGEMENT IN THE EDUCATIONAL ENVIRONMENT." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-006.
Full textXu, Qianli, Jianxin Roger Jiao, and Petri Helo. "Virtual Supply Chain Configuration for Product Families: Conceptualization and Formalism." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86672.
Full textRadić, Nikola, Vlado Radić, and Nenad Ravić. "Supplying Critical Materials in a Time of Uncertainty." In Eighth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/limen.2022.315.
Full textChen, Zhiqiang, and Zahed Siddique. "CORBA-Based Task Requirement Driven Design System." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42781.
Full textAdeeyo, Y. A., A. M. Abu, G. O. Adun, and M. Lucciano-Gabriel. "Field Surface Planner Algorithm for Integrated Gas Asset Management." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2023. http://dx.doi.org/10.2118/217183-ms.
Full textZamora Santacruz, Mario Fernando, and Mario Alejandro Ruiz González. "Agile Methodology for the Integral and Eco-Sustainable Management of Oil Projects." In ADIPEC. SPE, 2022. http://dx.doi.org/10.2118/210880-ms.
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