Essays about: "forecasting supply chain decision"

Showing result 1 - 5 of 10 essays containing the words forecasting supply chain decision.

1. 1. Implementing Artificial Intelligence in Supply Chain Management : A Qualitative Study of How Manufacturing Companies Can Implement AI to Improve Supply Chain Management

   University essay from Umeå universitet/Företagsekonomi

   Author : Alva Norgren; Wilma Janzon Hägglund; [2023]
   Keywords : Supply Chain Management; Artificial Intelligence; Manufacturing Industry; Artificial Intelligence Implementation Process;

   Abstract : The emergence of new technologies, such as artificial intelligence (AI), is transforming society and changing fundamental beliefs about money, value judgments, and enterprise implications. AI is becoming increasingly prevalent, serving as an exceptional advisor and an omniscient informant. READ MORE

3. 2. Development of an Improved Demand Planning Process - A Case Study at KåKå

   University essay from Lunds universitet/Teknisk logistik

   Author : Emma Hall; Clara Kronberg; [2023]
   Keywords : Sales Operations Planning; Demand Planning; Forecasting; Product Categorization; Non-manufacturing; Bakery Industry; Technology and Engineering;

   Abstract : Background: Operations planning and control has undergone an extensive shift from an individual company focus to a complete supply chain focus which has required a new common approach for supply chain planning and control to evolve. Increasing competition and globalization has created complexity in supply chain planning and integration since it requires a new cross-functional approach. READ MORE

4. 3. Forecasting Inventory Quantities : Time Series Models for Visualizing Fluctuations within Outbound Logistics

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Johan Lagerström; Lisa Sundström; [2022]
   Keywords : Outbound Logistics; Forecasting; Fluctuations; Time Series Analysis; Inventory space; 3PL;

   Abstract : Forecasting demand is one of the processes which greatly influences the decision making within a company, and it is also one of the greatest sources of uncertainty. Inaccurate forecasts force companies to find ways to compensate for the uncertainty, often by building inventories. READ MORE

5. 4. A Review of Artificial Intelligence used in Assortment Planning : A Suggested Approach Applied in the Fast Fashion Industry

   University essay from KTH/Industriell ekonomi och organisation (Inst.)

   Author : Alexandra Kosovic; Jeanna Peebo; [2021]
   Keywords : Fast fashion; supply chain management; category sales planning; assortment planning; artificial intelligence; supply chain analytics; Snabbt mode; försörjningskedja; kategoristyrning; sortimentsplanering; artificiell intelligens; supply chain analytics;

   Abstract : The short life cycles and highly variable demand in the fast fashion market causes various challenges in a retailer’s supply chain management processes. The essential task at hand is to provide the right product, at the right time, and at the right place. READ MORE

6. 5. Critical success factors of potential CPFR implementations : Two manufacturing case studies in Sweden based on a pre-CPFR stage from the perspective of a buyer – seller relationship

   University essay from Högskolan i Jönköping/IHH, Centre of Logistics and Supply Chain Management (CeLS)

   Author : Emilian Cristea; Gelle Khalif Hassan; [2018]
   Keywords : “supply chain collaboration”; “CPFR”; “CPFR Sweden”; “CPFR critical success factors”; “CPFR implementation”;

   Abstract : Background: Higher global competition and more demanding customers force manufacturing companies to develop and adopt new collaborative strategies; the collaborative planning, forecasting and replenishment concept allows stronger supply chain cooperation, cost saving, improved efficiency and performance. Purpose: Exploratory, to study the criticality of factors that can affect the feasibility of a potential a CPFR implementation in Sweden, from the perspective of a manufacturer in a pre-CPFR implementation stage. READ MORE