Integrated planning for a global pharmaceutical supply chain: an ambidexterity perspective

[1]  W. Klibi,et al.  Supply chain network design with financial considerations: A comprehensive review , 2023, Eur. J. Oper. Res..

[2]  J. Cordeau,et al.  A two-stage stochastic collaborative intertwined supply network design problem under multiple disruptions , 2023, Transportation Research Part E: Logistics and Transportation Review.

[3]  D. Battini,et al.  Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments , 2023, Omega.

[4]  Oh Kang Kwon,et al.  Optimal Ordering Quantity under Stochastic Time-Dependent Price and Demand with a Supply Disruption: A Solution Based on the Change of Measure Technique , 2022, Omega.

[5]  D. Ivanov,et al.  A review on reinforcement learning algorithms and applications in supply chain management , 2022, Int. J. Prod. Res..

[6]  B. Keskin,et al.  Post-pandemic Adaptation and Development of Supply Chain Viability Theory , 2022, Omega.

[7]  M. Saberi,et al.  Vaccine allocation policy optimization and budget sharing mechanism using reinforcement learning , 2022, Omega.

[8]  D. La Torre,et al.  Modelling ripple effect propagation and global supply chain workforce productivity impacts in pandemic disruptions , 2022, Int. J. Prod. Res..

[9]  J. Song,et al.  Adaptive R&D contract for urgently needed drugs: Lessons from COVID-19 vaccine development , 2022, Omega.

[10]  M. Rocca,et al.  Enhancing deep learning algorithm accuracy and stability using multicriteria optimization: an application to distributed learning with MNIST digits , 2022, Annals of Operations Research.

[11]  Feifeng Zheng,et al.  An optimization approach for multi-echelon supply chain viability with disruption risk minimization , 2022, Omega.

[12]  Jennifer Blackhurst,et al.  Adapting supply chain operations in anticipation of and during the COVID-19 pandemic , 2022, Omega.

[13]  H. Sahebi,et al.  A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain , 2022, Omega.

[14]  M. Pishvaee,et al.  A review on competitive pricing in supply chain management problems: models, classification, and applications , 2021, Int. Trans. Oper. Res..

[15]  A. Azaron,et al.  Designing pharmaceutical supply chain networks with perishable items considering congestion , 2021, Operational Research.

[16]  Faizal M. F. Hafiz,et al.  Competing control scenarios in probabilistic SIR epidemics on social-contact networks , 2021, Annals of operations research.

[17]  Daria Battini,et al.  Costs of resilience and disruptions in supply chain network design models: A review and future research directions , 2021 .

[18]  A. Baboli,et al.  A competitive pharmaceutical supply chain under the marketing mix strategies and product life cycle with a fuzzy stochastic demand , 2021, Annals of Operations Research.

[19]  Mir Saman Pishvaee,et al.  A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty , 2021, Annals of Operations Research.

[20]  D. Ivanov,et al.  Ripple effect and supply chain disruption management: new trends and research directions , 2021, Int. J. Prod. Res..

[21]  Franklin Mendivil,et al.  Stochastic efficiency and inefficiency in portfolio optimization with incomplete information: a set-valued probability approach , 2020, Ann. Oper. Res..

[22]  Abdollah Aghaie,et al.  Bi-objective optimization approach to a multi-layer location-allocation problem with jockeying , 2020, Comput. Ind. Eng..

[23]  Dmitry Ivanov,et al.  Ripple effect in the supply chain network: Forward and backward disruption propagation, network health and firm vulnerability , 2020, European Journal of Operational Research.

[24]  L. Ardito,et al.  The influence of inbound open innovation on ambidexterity performance: Does it pay to source knowledge from supply chain stakeholders? , 2020 .

[25]  Shiva Zandkarimkhani,et al.  A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design , 2020, Annals of Operations Research.

[26]  Boris V. Sokolov,et al.  Reconfigurable supply chain: the X-network , 2020, Int. J. Prod. Res..

[27]  D. Ivanov Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic , 2020, Ann. Oper. Res..

[28]  Alexandre Dolgui,et al.  Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak , 2020, Int. J. Prod. Res..

[29]  Ali Ghavamifar,et al.  Designing an integrated pharmaceutical relief chain network under demand uncertainty , 2020 .

[30]  Gintaras V. Reklaitis,et al.  Decision-support challenges in the chemical-pharmaceutical industry: Findings and future research directions , 2020, Comput. Chem. Eng..

[31]  Devon Sigler,et al.  Pareto solutions in multicriteria optimization under uncertainty , 2020, Eur. J. Oper. Res..

[32]  Hui Zhao,et al.  A multi-objective production planning problem with the consideration of time and cost in clinical trials , 2019, Expert Syst. Appl..

[33]  Babak Abbasi,et al.  Supply Chain Network Redesign: A Technical Note on Optimising Financial Performance , 2019, Decis. Sci..

[34]  Jafar Razmi,et al.  A mathematical model for designing an integrated pharmaceutical supply chain with maximum expected coverage under uncertainty , 2019, Oper. Res..

[35]  Mir Saman Pishvaee,et al.  Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain , 2018, Comput. Ind. Eng..

[36]  Jorge Pinho de Sousa,et al.  Strategic decision-making in the pharmaceutical industry: A unified decision-making framework , 2018, Comput. Chem. Eng..

[37]  S. Ali Torabi,et al.  A possibilistic location-inventory model for multi-period perishable pharmaceutical supply chain network design , 2018, Chemical Engineering Research and Design.

[38]  Martin F. Luna,et al.  MODEL-BASED RUN-TO-RUN OPTIMIZATION FOR PROCESS DEVELOPMENT , 2018, Brazilian Journal of Chemical Engineering.

[39]  Ralf W. Seifert,et al.  Building up Resilience in a Pharmaceutical Supply Chain through Inventory, Dual Sourcing and Agility Capacity , 2017 .

[40]  Jun Zhuang,et al.  Toward an integrated sustainable-resilient supply chain: A pharmaceutical case study , 2017 .

[41]  Zhe Zhang,et al.  Logistics Planning for Hospital Pharmacy Trusteeship Under a Hybrid of Uncertainties , 2017, Epidemic-logistics Modeling: A New Perspective on Operations Research.

[42]  Seyda Topaloglu,et al.  A genetic algorithm approach for multi-product multi-period continuous review inventory models , 2014, Expert Syst. Appl..

[43]  F. Salvador,et al.  Product configuration, ambidexterity and firm performance in the context of industrial equipment manufacturing , 2014 .

[44]  R. K. Pati,et al.  Managerial research on the pharmaceutical supply chain - A critical review and some insights for future directions , 2014 .

[45]  Christelle Guéret,et al.  Joint-optimization of inventory policies on a multi-product multi-echelon pharmaceutical system with batching and ordering constraints , 2013, Eur. J. Oper. Res..

[46]  Munawar A. Shaik,et al.  Multi-period scheduling of a multi-stage multi-product bio-pharmaceutical process , 2013, Comput. Chem. Eng..

[47]  R. Uthayakumar,et al.  Pharmaceutical supply chain and inventory management strategies: Optimization for a pharmaceutical company and a hospital , 2013 .

[48]  S. Tarba,et al.  Organizational Ambidexterity and Performance: A Meta-Analysis , 2013 .

[49]  Constantin Blome,et al.  Ambidextrous Governance in Supply Chains: The Impact on Innovation and Cost Performance , 2013 .

[50]  J.M. Laínez,et al.  Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry , 2012, Comput. Chem. Eng..

[51]  Mir Saman Pishvaee,et al.  Robust possibilistic programming for socially responsible supply chain network design: A new approach , 2012, Fuzzy Sets Syst..

[52]  Jiuh-Biing Sheu,et al.  Hierarchical facility network planning model for global logistics network configurations , 2012 .

[53]  Helmut Schneider,et al.  Pharmaceutical supply chain specifics and inventory solutions for a hospital case , 2012 .

[54]  Reinaldo Morabito,et al.  Production planning in furniture settings via robust optimization , 2012, Comput. Oper. Res..

[55]  Amir H. Masoumi,et al.  A Supply Chain Generalized Network Oligopoly Model for Pharmaceuticals under Brand Differentiation and Perishability , 2012 .

[56]  Iftekhar A. Karimi,et al.  Integrated supply chain planning for multinational pharmaceutical enterprises , 2011, Comput. Chem. Eng..

[57]  Christos T. Maravelias,et al.  R&D pipeline management: Task interdependencies and risk management , 2011, Eur. J. Oper. Res..

[58]  Lazaros G. Papageorgiou,et al.  Global supply chain planning for pharmaceuticals , 2011 .

[59]  V. Bhakoo,et al.  Collaborative implementation of e‐business processes within the health‐care supply chain: the Monash Pharmacy Project , 2011 .

[60]  C. Cioffe Portfolio Selection and Management in Pharmaceutical Research and Development: Issues and Challenges , 2011, Clinical pharmacology and therapeutics.

[61]  A. Roth,et al.  The effect of an ambidextrous supply chain strategy on combinative competitive capabilities and business performance , 2010 .

[62]  Markku V. J. Maula,et al.  Exploration, exploitation, and financial performance: analysis of S&P 500 corporations , 2009 .

[63]  Amelia Bilbao-Terol,et al.  Linear programming with fuzzy parameters: An interactive method resolution , 2007, Eur. J. Oper. Res..

[64]  Zi-Lin He,et al.  Exploration vs. Exploitation: An Empirical Test of the Ambidexterity Hypothesis , 2004, Organ. Sci..

[65]  J. Pekny,et al.  Managing a Portfolio of Interdependent New Product Candidates in the Pharmaceutical Industry , 2004 .

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

[67]  Lazaros G. Papageorgiou,et al.  A hierarchical solution approach for multi-site capacity planning under uncertainty in the pharmaceutical industry , 2004, Comput. Chem. Eng..

[68]  Lazaros G. Papageorgiou,et al.  An Aggregation Approach for Capacity Planning under Uncertainty for the Pharmaceutical Industry , 2003 .

[69]  John Abraham,et al.  Regulation of the Pharmaceutical Industry , 2003 .

[70]  I. Grossmann,et al.  Simultaneous Planning for New Product Development and Batch Manufacturing Facilities , 2001 .

[71]  Vipul Jain,et al.  Resource-Constrained Scheduling of Tests in New Product Development , 1999 .

[72]  Ignacio E. Grossmann,et al.  Optimization Models for the Scheduling of Testing Tasks in New Product Development , 1996 .

[73]  Mir Saman Pishvaee,et al.  Novel robust fuzzy mathematical programming methods , 2016 .

[74]  Zhongsheng Hua,et al.  A binary solution method for the multi-product newsboy problem with budget constraint , 2009 .