https://findresearcher.sdu.dk:8443/ws/files/135384983/Supply_chain_network_design_under_uncertainty.pdf

Supply chain network design under uncertainty: A comprehensive review and future research directions

https://pure.tue.nl/ws/files/3604031/652723.pdf

Inventory models with lateral transshipments: A review

This study aims at presenting the Ripple effect in supply chains It develops different dimensions of the Ripple effect and summarises recent developments in the field of supply chain (SC) disruption management from a multi-disciplinary perspective It structures and classifies existing research streams and applications areas of different quantitative methods to the Ripple effect analysis as well as identifying gaps in current research and delineating future research avenues The analysis shows that different frameworks already exist implicitly for tackling the Ripple effect in the SC dynamics, control and disruption management domain However, quantitative analysis tools are still rarely applied in praxis We conclude that the Ripple effect can be the phenomenon that is able to consolidate research in SC disruption management and recovery similar to the bullwhip effect regarding demand and lead time fluctuations This may build the agenda for future research on SC dynamics, control, continuity and disrup

The Ripple effect in supply chains: trade-off 'efficiency-flexibility-resilience' in disruption management

Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case

Supply chain network design (SCND) determines the structure of a chain and affects its costs and performance. SCND deals with a variety of decisions such as determining number, size and location of facilities in a supply chain (SC) and may include tactical decisions (such as distribution, transportation and inventory management policies) as well as operational decisions (such as fulfilling customers demand). SCND has a voluminous literature. Most of the literature deals with a single SC and ignores the existing competitor SCs and future emerging ones. However, SCs compete together to capture more market shares. Even if there is not any competitor at the moment, SCs should be prepared for possible future competitive situation at the SCND stage. On the other hand, many competitive models assume that the supply chain network (SCN) and its structure already exist. Few research papers consider both aspects of design and competition. In this paper, we provide a review of SCND literature and highlight the effects of competitive environment on SCND. We review, classify, and introduce the major features of the proposed models in both SCND and competition literature. After investigating proposed competitive SCND models we develop a general framework for modeling the competitive SCND problems considering managerial insight and propose potential areas for future research.

Competitive supply chain network design: An overview of classifications, models, solution techniques and applications

The authors consider the design of a two-echelon production distribution network with multiple manufacturing plants, customers and a set of candidate distribution centers. The main contribution of the study is to extend the existing literature by incorporating the demand uncertainty of customers within the distribution center location and transportation mode allocation decisions, as well as providing a network design satisfying the both economical and service quality objectives of the decision maker within two levels supply network setting. The authors formulate the problem as two stage integer recourse problem to find a set of optimal network configuration and assignment of transportation modes and the respective flows in order to minimize total cost and total service time, simultaneously. The authors develop a stochastic optimization model under demand uncertainty, where the inherent risk is modeled by scenarios. Finally, they propose solution methods for our stochastic optimization problem based on L-shaped algorithm within an e-optimality framework and present numerical results demonstrating the computational effectiveness.

A bi-objective supply chain design problem with uncertainty

Multi-location transshipment problem with capacitated transportation

A new dominance rule to minimize total weighted tardiness with unequal release dates

The study deals with scheduling a set of independent jobs with unequal release dates to minimize total weighted tardiness on a single machine. We propose new dominance properties that are incorporated in a branch and bound algorithm. The proposed algorithm is tested on a set of randomly generated problems with 10, 15 and 20 jobs. To the best of our knowledge, this is the first exact approach that attempts to solve the l|rj |ΣwjTj problem.

/pdf/an-exact-approach-to-minimizing-total-weighted-tardiness-nrnukm5gie.pdf

Deniz Özdemir

Papers

A bi-objective supply chain design problem with uncertainty

Multi-location transshipment problem with capacitated transportation

A new dominance rule to minimize total weighted tardiness with unequal release dates

An exact approach to minimizing total weighted tardiness with release dates

Multi-location transshipment problem with capacitated production