Fulfillment and pricing optimization for omni-channel retailers considering shipment of in-store demand

Pichka, Khosro; Alwan, Layth C.; Yue, Xiaohang

doi:10.1016/j.tre.2022.102912

Cited by 7 publications

(5 citation statements)

References 23 publications

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“…The optimal decision under the centralized supply chain means that the supplier bears the cost of the overall structure of the supply chain and shares the risk through third-party logistics enterprises or financial institutions according to customers' new requirements on the performance, quality and service of the goods under the condition of ensuring timely supply and demand. It can reduce the overall demand level of both parties and improve customer satisfaction and service quality [6] . Under the centralized supply chain structure, the traditional retail channel and the online channel are managed by a central decision maker.…”

Section: Optimal Decision Making Under Centralized Supply Chainmentioning

confidence: 99%

Research on Omni-Channel Supply Chain Structure Based on BOPS Mode

Zhou¹

2023

Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Chan

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With the rapid development of Chinese economy, the urbanization process is accelerating and the number of urban population is increasing. In this context, the omnichannel supply chain is a new circulation mode emerged at the historic moment, its development speed is amazing. Under the mode of omni-channel supply chain management, the urban integrated pipeline corridor industry, logistics industry and finance have shown a rapid growth trend and become an important factor to promote the urban economic development. However, there are still many problems in supply chain management in the process of supply-side structural reform. For example, low efficiency of infrastructure construction, high logistics cost and lack of omni-channel service quality lead to low efficiency of supply chain structure, which also affects urban economic development and residents' consumption level.

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Section: Optimal Decision Making Under Centralized Supply Chainmentioning

confidence: 99%

Research on Omni-Channel Supply Chain Structure Based on BOPS Mode

Zhou¹

2023

Proceedings of the 2nd International Conference on Big Data Economy and Digital Management, BDEDM 2023, January 6-8, 2023, Chan

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“…Radhi and Zhang [14] considered crosschannel return and explored the influence of re-sold returned products on the quantity of orders in each channel. Pichka et al [15] studied the pricing and fulfillment decisions of omnichannel retailers. Paul et al [16] studied the inventory replenishment problem in physical stores when consumers purchase online and pick up the purchased goods in physical stores.…”

Section: New Retail Modelmentioning

confidence: 99%

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

Wan

Zhang

Liu

et al. 2022

JTAER

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With the continuous upgrading of consumer demand and retail modes, more and more retailers are switching to an omnichannel retail mode. In order to study the location problem of offline physical stores of online retail enterprises that plan to implement the BOPS (Buy Online and Pickup in Store) omnichannel retail model, this paper considers consumers’ choice behavior under the omnichannel retail model; uses the MNL (Multinomial Logit) model to depict customers’ choice behavior between the online channel, BOPS channel, and offline physical channel; and constructs a location optimization model of offline physical stores with the goal of minimizing the enterprise’s cost. According to the characteristics of the model, an improved genetic algorithm was designed; the algorithm was improved on chromosome selection mode, crossover, and mutation rules. Finally, an example is calculated, and the physical store location scheme of a retail enterprise and the vehicle routing optimization scheme under the two-level distribution network are obtained, which verifies the effectiveness of the model and algorithm and provides a scientific reference for the physical store location decision of online retail enterprises planning to implement the BOPS omnichannel retail model. The impact of freight, return rate, and service level of physical stores on the location of offline physical stores is analyzed. The results show that in the process of expanding offline physical stores to implement the BOPS omnichannel retail model, online retail enterprises can reduce enterprise costs by improving the freight level and service level of the physical store. The higher the return rate of the online channel, the more necessary it is to expand offline physical stores, and the lower the enterprise cost. At the same time, management suggestions are put forward for the enterprise operation under the BOPS omnichannel retail mode.

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“…Lastly, they concluded that (i) appropriate green and advertising policies improve the environmental and profitable goals, and (ii) their model's obtained result outperforms the same model without considering the robust optimization method. Extra works (Goyal & Gupta, 1989;Hoque & Goyal, 2006;Sarmah et al, 2006;Tseng et al, 2014;Zhang et al, 2016;Abushaega et al, 2021;Çömez-Dolgan et al, 2021;Khan et al, 2021;Perarasi et al, 2021;Pichka et al, 2022;Karimpoor et al, 2023) discovered the influence of various product-shipping policies on optimizing the global firms' internal or coordinated supply-chain systems.…”

Section: Introductionmentioning

confidence: 99%

An operating cost minimization model for buyer-vendor coordination batch system with breakdowns, scrap, overtime, and an external source

Chiu,

Lian,

Pai

et al. 2024

10.5267/j.ijiec

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When making a batch production decision for a buyer-vendor coordination system, the management must simultaneously consider the operating expenses incurred in in-house manufacturing and inventory, finished goods’ shipping, and stock holding at the retailer end. Achieving the operational goals of desirable quality, minimal production disruption, and shortening fabrication time help minimize overall in-house operating costs and maximize customer satisfaction. This work builds an operating cost minimization model for buyer-vendor coordination batch system with scrap, breakdowns, overtime, multi-shipment, and an external source to assist the management in optimizing their production-delivery plan. Removing inevitable scrap items ensures product quality, and correction action on stochastic equipment breakdown prevents unacceptable production delays. Implementing partial overtime and adopting an external source expedites in-house manufacturing time. Model construction and cost analysis enable us to decide the operating expense function. Then, we verify the function’s convexity and decide our model’s best manufacturing runtime with the differential calculus and a proposed algorithm. Furthermore, the numerical demonstrations are used to exhibit our work’s applicability and show what kinds of crucial in-depth information can be disclosed and made accessible to the production planners for their decision-making.

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Fulfillment and pricing optimization for omni-channel retailers considering shipment of in-store demand

Cited by 7 publications

References 23 publications

Research on Omni-Channel Supply Chain Structure Based on BOPS Mode

Research on Omni-Channel Supply Chain Structure Based on BOPS Mode

Location Optimization of Offline Physical Stores Based on MNL Model under BOPS Omnichannel

An operating cost minimization model for buyer-vendor coordination batch system with breakdowns, scrap, overtime, and an external source

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