An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy
From MaRDI portal
Publication:707140
DOI10.1016/J.EJOR.2003.10.038zbMath1132.90302OpenAlexW2072686901MaRDI QIDQ707140
Publication date: 9 February 2005
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2003.10.038
Related Items (6)
Payment policy for a three-echelon supply chain management under advertisement-driven demand ⋮ Optimizing multi-stage production for an assembly-type supply chain with unequal sized batch shipments ⋮ Supply chain models for an assembly system with preprocessing of raw materials: a simple and better algorithm ⋮ Optimal inventory policies for serial-type and assembly-type supply chains with equal sized batch ⋮ A mixed 0‐1 integer programming for inventory model ⋮ Solving lot-sizing problem with quantity discount and transportation cost
Cites Work
- Ranking of generalised multi-stage KANBAN policies
- A review of optimisation models of Kanban-based production systems
- Operations planning for a multi-stage kanban system
- The Kanban assignment problem -- A non-integral approach
- An outer-approximation algorithm for a class of mixed-integer nonlinear programs
- Formulations and heuristics for scheduling in a Kanban flowshop to minimize the sum of weighted flowtime, weighted tardiness and weighted earliness of containers
- Operations planning for a single-stage kanban system operating under linear demand
- An overview of design and operational issues of kanban systems
- Determination of the number of containers, production kanbans and withdrawal kanbans; and scheduling in kanban flowshops - Part 2
- Cyclic Scheduling for a Multi-product, Single-facility Production System Operating Under a Just-in-time Delivery Policy
- An Analytical Method for Performance Evaluation of Kanban Controlled Production Systems
- An adaptive approach to controlling kanban systems
This page was built for publication: An assembly-type supply chain system controlled by kanbans under a just-in-time delivery policy