Operational planning framework for multisite production and distribution networks

The operational planning of a multisite production and distribution network, which entails making operational-level decisions for efficient production facility utilitization and customer-order fulfillment over a time horizon of several months, is of great importance but has received considerably less attention compared to operational planning approaches for a single production site. The inherent complexities of simultaneously optimizing the allocation of production tasks at each facility, as well as the interplay between several production and distribution centers make operational planning of a multisite production and distribution network challenging especially when addressing large-scale, industrial applications. The proposed multisite planning with production disaggregation model (Multisite-PPDM) has been formulated in order to address industrially relevant supply chains and determine both the production and shipment profiles for the supply chain of interest.

[1]  Efstratios N. Pistikopoulos,et al.  Multiperiod Planning of Enterprise-wide Supply Chains Using an Operation Policy , 2007 .

[2]  U. V. Shenoy,et al.  Pinch analysis for aggregate production planning in supply chains , 2004, Comput. Chem. Eng..

[3]  Christodoulos A. Floudas,et al.  Improved Unit-Specific Event-Based Continuous-Time Model for Short-Term Scheduling of Continuous Processes: Rigorous Treatment of Storage Requirements , 2007 .

[4]  James T. Lin,et al.  A multi-site supply network planning problem considering variable time buckets– A TFT-LCD industry case , 2007 .

[5]  C. Floudas,et al.  Production Scheduling of a Large-Scale Industrial Batch Plant. I. Short-Term and Medium-Term Scheduling , 2006 .

[6]  Christodoulos A. Floudas,et al.  Improving unit-specific event based continuous-time approaches for batch processes: Integrality gap and task splitting , 2008, Comput. Chem. Eng..

[7]  Matthew H. Bassett,et al.  Decomposition techniques for the solution of large-scale scheduling problems , 1996 .

[8]  Nilay Shah,et al.  Pharmaceutical supply chains: key issues and strategies for optimisation , 2004, Comput. Chem. Eng..

[9]  Christodoulos A. Floudas,et al.  Unit-specific event-based continuous-time approach for short-term scheduling of batch plants using RTN framework , 2008, Comput. Chem. Eng..

[10]  Rui Sousa,et al.  Supply chain design and multilevel planning - An industrial case , 2008, Comput. Chem. Eng..

[11]  Ignacio E. Grossmann,et al.  Enterprise‐wide optimization: A new frontier in process systems engineering , 2005 .

[12]  Christodoulos A. Floudas,et al.  Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review , 2004, Comput. Chem. Eng..

[13]  J. Kallrath.  Diskrete Optimierung in der chemischen Industrie , 1995 .

[14]  Christopher Suerie.  Planning and scheduling with multiple intermediate due dates : an effective discrete time model formulation , 2005 .

[15]  I. Grossmann,et al.  Planning models for parallel batch reactors with sequence‐dependent changeovers , 2007 .

[16]  Josef Kallrath,et al.  Solving Planning and Design Problems in the Process Industry Using Mixed Integer and Global Optimization , 2005, Ann. Oper. Res..

[17]  Josef Kallrath,et al.  Optimal planning in large multi-site production networks , 2000, Eur. J. Oper. Res..

[18]  Christodoulos A. Floudas,et al.  Effective continuous-time formulation for short-term scheduling. 3. Multiple intermediate due dates , 1999 .

[19]  David Kendrick,et al.  GAMS, a user's guide , 1988, SGNM.

[20]  Michael Pinedo,et al.  Planning and Scheduling in Supply Chains: An Overview of Issues in Practice , 2004 .

[21]  Christodoulos A. Floudas,et al.  Mixed Integer Linear Programming in Process Scheduling: Modeling, Algorithms, and Applications , 2005, Ann. Oper. Res..

[22]  C. Maravelias,et al.  An attainable region approach for production planning of multiproduct processes , 2007 .

[23]  Matthias Lehmann,et al.  Campaign planning for multi-stage batch processes in the chemical industry , 2002, OR Spectr..

[24]  Josef Kallrath,et al.  Combined strategic and operational planning – an MILP success story in chemical industry , 2002, OR Spectr..

[25]  Josef Kallrath,et al.  Real Optimization with SAP® APO , 2006 .

[26]  Thokozani Majozi,et al.  Novel Continuous Time MILP Formulation for Multipurpose Batch Plants. 2. Integrated Planning and Scheduling , 2001 .

[27]  C. Floudas,et al.  Production Scheduling of a Large-Scale Industrial Batch Plant. II. Reactive Scheduling , 2006 .

[28]  Christodoulos A. Floudas,et al.  Design, synthesis and scheduling of multipurpose batch plants via an effective continuous-time formulation , 2001 .

[29]  Antonio Espuña Camarasa,et al.  Simultaneous optimization of process operations and financial decisions to enhance the integrated planning/scheduling of chemical supply chains , 2006, Comput. Chem. Eng..

[30]  Christodoulos A. Floudas,et al.  Effective Continuous-Time Formulation for Short-Term Scheduling. 2. Continuous and Semicontinuous Processes , 1998 .

[31]  Ignacio E. Grossmann,et al.  A model predictive control strategy for supply chain optimization , 2003, Comput. Chem. Eng..

[32]  Josef Kallrath,et al.  Planning and scheduling in the process industry , 2002, OR Spectr..

[33]  Christodoulos A. Floudas,et al.  Enhanced Continuous-Time Unit-Specific Event-Based Formulation for Short-Term Scheduling of Multipurpose Batch Processes: Resource Constraints and Mixed Storage Policies. , 2004 .

[34]  Gintaras V. Reklaitis,et al.  Enterprise-wide modeling & optimization - An overview of emerging research challenges and opportunities , 2007, Comput. Chem. Eng..

[35]  Christodoulos A. Floudas,et al.  Continuous-Time Optimization Approach for Medium-Range Production Scheduling of a Multiproduct Batch Plant , 2002 .