A collaborative scenario-based decision model for a disrupted dual-channel supply chain: Benchmarking against the centralized structure

Role of Distribution Centers Disruptions in New Retail Supply Chain: An Analysis Experiment

The convergence of physical stores and e-commerce has led to the emergence of a new retail business mode in the retail industry. In today’s world, new retail supply chains face the potential risks of disruption caused by natural and man-made disasters, and epidemics. In this paper, we simulate a three-stage new retail supply chain consisting of suppliers, manufacturers, and a retailer with online and offline channels in the AnyLogistix simulation and optimization software. We develop a simulation model to analyze the effects of various supply chain node disruptions on new retail supply chain performance and service level with consideration of four scenarios: disruption-free; manufacturer disruption; warehouse center disruption; offline store disruption. The main results show that supply chain node disruptions have negative impacts on the performance and service level. Besides, the warehouse center disruption has the most devastating effect on this new retail supply chain. Overall, this paper provides insights for decision-makers to consider disruption issues when designing resilient new retail supply chains.

Benchmarking the practices of flexibility with maturity models and frameworks of organizational capabilities

Purpose

Organizational capabilities are crucial to achieve the objectives. A plethora of maturity models is available to guide organizational capabilities that create a perplexing situation about what stuff to improve and what to leave. Therefore, a unified maturity model addressing a wide range of capabilities is a necessity. This paper establishes that a flexibility maturity model is an unified model containing the operational, strategic and human capabilities.

Design/methodology/approach

This paper does a comparative analysis/benchmarking studies of different maturity models/frameworks widely used in the information technology (IT) sector with respect to the flexibility maturity model to establish its comprehensiveness and application in the organization to handle multiple goals.

Findings

This study confirms that the flexibility maturity model has the crucial elements of all the maturity models. If the organizations use the flexibility maturity model, they can avoid the burden of complying with multiple ones and become objective-driven rather than compliance-driven.

Research limitations/implications

The maturity models used in information technology sectors are used. This work will inspire other maturity models to adopt flexibility phenomena.

Practical implications

The comparative analysis will give confidence in application of flexibility framework. The business environment and strategic options across organizations are inherently different that the flexibility maturity model well handles.

Social implications

A choice is put to an organization to see the comparison tables produced in this paper and choose the right framework according to the prevailing business situation.

Originality/value

This is the first study that makes a conclusion based on comparative benchmarking of existing maturity models.

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts' evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.