The supply chain challenges – strategies for the future

Keyword(s):  
Pomorstvo ◽  
2016 ◽  
Vol 30 (1) ◽  
pp. 45-50
Author(s):  
Mladen Jardas ◽  
Čedomir Dundović ◽  
Paola Badurina-Tomić

In the paper importance is given to the organization of the supply chain for a more efficient delivery of goods to city centers. Logistics activities are closely related because they depend on each other. The ultimate goal is to bring the product/goods to the end customer/consumer as soon as possible, on time, at the lowest cost, in perfect condition and in the appropriate quantity. The mutual coordination and cooperation of all participants in the supply chain can result in a satisfied end-user/customer. The development of information – telecommunication technologies – will greatly affect the future development and efficiency of the supply chain by finding new transport solutions that would mostly affect city centers. The paper mostly emphasizes the context of the delivery conditions in Rijeka’s city center with a proposal for the location of a future centralized distribution center.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
P.R.S. Sarma ◽  
Aalok Kumar ◽  
Nishat Alam Choudhary ◽  
Sachin Kumar Mangla

PurposeThis paper aims to develop supply chain strategies for the fashion retail supply chain (FRSC), likely to be disrupted by the current pandemic (COVID-19) under physical and online retail stores. The resilient retail supply chain design is proposed under budget allocation and merchandise capacity constraints.Design/methodology/approachThis paper utilises the theory of constraint (ToC) and goal programming (GP) to address the COVID-19 impact on FRSC. The budgetary and capacity constraints are formulated with a constraint optimisation model and tested with six different priorities to deal with the physical and online stores. Next, all priorities are developed under different FRSC business scenarios. The ToC-GP-based optimisation model is validated with one of the Indian fashion retail supply chains.FindingsThe proposed optimisation model presents the optimal retailing strategies for selling fashion goods over physical and online platforms. The multiple scenarios are presented for developing trade-offs among different strategies to maximise the retailer's merchandise performance. This paper also highlighted the strategic movement from high merchandise density stores to low merchandise density stores. This implies a reduction of sales targets and aspiration levels of both online and physical fashion stores.Research limitations/implicationsThe proposed model is validated with one of the fashion retailers in India. Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Practical implicationsThis research helps fashion retail supply chain managers deal with consumer demand uncertainty over physical and online stores in pandemic times. Limitation: Other nations or multiple fashion retailers might be considered for more generalisation of findings in the future.Originality/valueThis is the first study that considered the impact of COVID-19 on the retail fashion supply chain. The effect of physical and online platforms is mainly discussed from consumer marketing perspectives, but an inventory and resilience perspective is missing in earlier studies. The role of merchandise planning is highlighted in this study.


2017 ◽  
Vol 5 (1) ◽  
pp. 15
Author(s):  
Gema Wibawa Mukti ◽  
Rani Andriani Budi Kusumo ◽  
Pandi Pardian

Broccoli is one of the prospective horticultural products to be developed, beside it has a good nutrition for health, broccoli also hasan interesting physical form. Broccoli is generally preferred by consumers of modern market, sold as fresh with adjust table size with consumer demand. On the other hand, broccoli has aperishable nature, with an unique morphological characteristics. Modern market demand requires a certainspec for broccoli, it cause farmers had tochange the way they do in their  business, so that their products are well received by the modern market. There fore, this study aims to determine the entrepreneurial orientation offarmersso it canmeet the demand ofbroccolito themodernmarket. Broccoli’s Farmer has a high entrepreneurial spirit, as seen from the orientation of farmers in view the future. Farmers see the modern market as an alternative market with a huge potential market in the future, so that the farmers do a variety of creative effort to make their business performance more efficiently so it can serve the  modern market better. The method usedinthisstudyis thecase studies method, theanalysis techniqueused isdescriptive qualitativeanalysis. Research shows that broccoli farmers as an entrepreneur has an unique characteristics and valuesin running their business. Broccoli farmes entrepreneurial orientation in Kecamatan Lembang emphasizes the creation of business innovation, always doing to do the improvement process of their supply chain product, namely with implementing strategies for business collaboration with other actors in the broccoli supply chain. They also always proactivein receivinga request from the modern market as an alternative market for their business, so their businesses can be more competitive and be able to runcontinuously.


Author(s):  
Nuno Santos ◽  
Paula Monteiro ◽  
Francisco Morais ◽  
Jaime Pereira ◽  
Daniel Dias ◽  
...  

Abstract Developing Industrial Internet of Things (IIoT) systems requires addressing challenges that range from acquiring data at the level of the shopfloor, integrated at the edge level and managing it at the cloud level. Managing manufacturing operations at the cloud level arose the opportunity for extending decisions to entities of the supply chain in a collaborative way. Not only it has arisen many challenges due to several interoperability needs; but also in properly defining an effective way to take advantage of the available data, leading to Industrial Digital Thread (IDT) and Asset Efficiency (AE) implementing. This paper discusses implementation concerns for a collaborative manufacturing environment in an IIoT system in order to monitor equipment’s AE. Each concern was addressed in a separate proof of concept testbed. The demonstration is based in a project for the IIoT domain called PRODUTECH-SIF (Solutions for the Industry of the Future).


Author(s):  
Harshit Bhardwaj ◽  
Pradeep Tomar ◽  
Aditi Sakalle ◽  
Uttam Sharma

Agriculture is the oldest and most dynamic occupation throughout the world. Since the population of world is always increasing and land is becoming rare, there evolves an urgent need for the entire society to think inventive and to find new affective solutions to farm, using less land to produce extra crops and growing the productivity and yield of those farmed acres. Agriculture is now turning to artificial intelligence (AI) technology worldwide to help yield healthier crops, track soil, manage pests, growing conditions, coordinate farmers' data, help with the workload, and advance a wide range of agricultural tasks across the entire food supply chain.


2017 ◽  
Vol 18 (3) ◽  
pp. 121-122
Author(s):  
Frank Straube ◽  
Christian F. Durach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ahmed Abideen ◽  
Fazeeda Binti Mohamad

Purpose Lean implementation is vastly incorporated in core manufacturing processes; however, its applicability in the supply chain and service industry is still in its infancy. To acquire performance excellence and thrive in the global competitive market, many firms are adopting newer methodologies. But, there is a stringent need for production simulation systems to analyze supply chains both inbound and outbound. The era of face validation is slowly disappearing. Lean tools and procedures that provide future state assumptions need advanced tools and techniques to measure, quantify, analyze and validate them. The purpose of this study is to enable dynamic quantification and visualization of the future state of a warehouse supply chain value stream map using discrete event simulation (DES) technique. Design/methodology/approach This study aimed to apply an integrated approach of the value stream mapping (VSM) and DES in a Malaysian pharmaceutical production warehouse. The main focus is diverted towards reducing the warehouse supply chain lead time by initially constructing a supply chain value stream map (both present state and future state) and integrating its data in a DES modelling and simulation software to dynamically visualize the changes in future state value stream map. Findings The DES simulation was able to mimic the future state lead time reductions successfully, which assists in better decision-making. Improvements were seen related to total lead time, process time, value and non-value-added percentage. Warehouse performance metrics such as receiving, put away and storage rates were substantially improved along with pallet processing time, worker and forklift throughput usage percentage. Detailed findings are clearly stated at the end of this paper. Research limitations/implications This study is limited to the warehouse environment and further additional process models and functional upgrades in the DES software systems are very much needed to directly visualize and quantify all the possible Lean assumptions such as radio frequency image identification/Andon (Jidoka), 5S, Kanban, Just-In-Time and Heijunka. However, DES has a leading edge in extracting dynamic characteristics out of a static VSM timeline and capture details on discrete events precisely by picturizing facility modification and lead time related to it. Practical implications This paper includes all the fundamental pharmaceutical warehouse supply chain processes and the simulations of the future state VSM in a real-life context by successfully reducing supply chain lead time and allowing managers in inculcating near-optimal decision-making, controlling and coordinating warehouse supply chain activities as a whole. Social implications This integrated approach of DES and VSM can involve managers and top management to support the adoption of anticipated changes. This study also has the potential to engage practitioners, researchers and decision-makers in the warehouse industry. Originality/value This study involves a powerful DES software package that can mimic the real situation as a virtual simulation and all the data and model building are based on a real warehouse scenario in the pharmaceutical industry.


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